Our core work consists of creating custom AI applications that will impact millions of citizens, generating high-quality training data for custom LLMs, and upskilling and advisory services to spread the impact of AI.

As a Full Stack Software Engineer (Forward Deployed), you'll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens.

At Scale, we're not just building AI solutions,we're enabling the public sector to transform their operations and better serve citizens through cutting-edge technology.

Responsibilities:

• Collaborate with senior engineers to implement features for public sector clients, including spending time with the client to understand user feedback and assist with delivery.
• Develop and maintain full-stack components that integrate with AI models, focusing on building responsive UIs and reliable backend APIs.
• Assist in deploying and monitoring applications within cloud environments, ensuring basic system stability and security.
• Help build and refine reusable features that support diverse international client use cases.
• Work within a multi-disciplinary team of design, product, and data specialists to build robust features that follow established technical architectures.

Ideal Candidate:

• Bachelor's degree in Computer Science or a related quantitative field
• Professional full-stack experience with a focus on React, TypeScript, and Python/Node.js. Familiarity with Next.js and NoSQL/Relational databases, along with exposure to containerization (Docker) and cloud deployments.
• Experience building and deploying web applications with a good understanding of cloud fundamentals and scalable coding practices.
• A self-starting approach to navigate ambiguous requirements and deliver reliable software.

Nice to Have:

• Proficient in Arabic
• Experience working cross functionally with operations
• Experience building solutions with LLMs

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Our core work consists of creating custom AI applications that will impact millions of citizens, generating high-quality training data for custom LLMs, and upskilling and advisory services to spread the impact of AI.

As a Full Stack Software Engineer (Forward Deployed), you'll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens.

At Scale, we're not just building AI solutions,we're enabling the public sector to transform their operations and better serve citizens through cutting-edge technology.

If you're ready to shape the future of AI in the public sector and be a founding member of our team, we'd love to hear from you.

Responsibilities

• Collaborate with senior engineers to implement features for public sector clients, including spending time with the client to understand user feedback and assist with delivery.
• Develop and maintain full-stack components that integrate with AI models, focusing on building responsive UIs and reliable backend APIs.
• Assist in deploying and monitoring applications within cloud environments, ensuring basic system stability and security.
• Help build and refine reusable features that support diverse international client use cases.
• Work within a multi-disciplinary team of design, product, and data specialists to build robust features that follow established technical architectures.

Ideal Candidate

• Bachelor's degree in Computer Science or a related quantitative field
• Professional full-stack experience with a focus on React, TypeScript, and Python/Node.js. Familiarity with Next.js and NoSQL/Relational databases, along with exposure to containerization (Docker) and cloud deployments.
• Experience building and deploying web applications with a good understanding of cloud fundamentals and scalable coding practices.
• A self-starting approach to navigate ambiguous requirements and deliver reliable software.

Nice to Haves

• Proficient in Arabic
• Experience working cross functionally with operations
• Experience building solutions with LLMs

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This role will be based temporarily at Santa Ana, CA for a 3 month training period before transitioning to Asheville, OH.

Responsibilities:

• Develop applications for Windows and Linux desktop environments
• Integrate cloud data and deployment features while maintaining user authentication and security
• Generate automation scripts (python) for debug and prototype development
• Triage issues, root cause failures, and coordinate next-steps
• Partner with end-users to turn needs into features while balancing user experience with engineering constraints

Required Qualifications:

• Expertise in desktop application development with WPF and C#
• Proficient in ASP.NET, RESTful services with C# in AWS/Azure infrastructure
• Hands-on working knowledge of a major relational database (DB2, SQL Server etc.) and/or NoSql
• Experience working in CI/CD and designing and delivering DevOps automation for app deployment and testing
• Bachelor’s degree in Computer Science, Computer Engineering, or related field
• Experience working on multi-disciplinary projects, working closely with Electrical / Mechanical / Manufacturing Engineers
• Eligible to obtain and maintain an active U.S. Secret security clearance

Preferred Qualifications:

• 5+ years of relevant industry experience
• Pursuing a Master’s of Computer Science or related field
• Experience with test automation or cloud deployment tools
• Currently possesses and is able to maintain an active U.S. Secret security clearance

US Salary Range $129,000-$171,000 USD

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Location: London, UK

Category-defining tech. Career-defining work.

Lots of tech companies disrupt. But, many fail when they try to scale. We're different. CockroachDB makes it easier for companies to build and scale apps. This is how and why we're helping some of the most innovative companies on the planet. We tackle problems head-on and focus on solutions that create lasting impact.

Because when our customers win, we all win.

The Role

Our Account Executives target and close new business with some of today's most innovative companies. In this role, you'll both nurture inbound leads in your territory with marketing-led support as well as prospect into a target list of select accounts. You will do this by driving opportunities through the entire sales cycle from pipeline generation to closure, employing a value-oriented sales methodology with a focus on use cases spanning customer data and marketing activation. The ideal candidate will have the aptitude and passion for becoming an expert in CockroachDB's product capabilities, business impact, and competitive advantages and loves to build long-lasting relationships with customer needs at the center.

This role will cover the UK region and you must be based within a commutable distance to our London office to be eligible.

You Will

• Close new logos and expand existing business within an assigned territory, meeting and exceeding sales goals through prospecting, qualifying, managing, and closing sales opportunities

• Leverage and coordinate cross-functional internal teams (Sales Development, Legal, Engineering, Security, Marketing, Product) to efficiently navigate complex sales cycles

• Maintain, build and own specific relationship maps for your territory, including existing relationships and aspirational contacts

• Lead compelling presentations of CockroachDB's product and vision to a broad range of audiences, from c-level executives to individual contributors

• Provide timely and accurate forecasts and clear visibility on sales and revenue performance by actively handling your pipeline of opportunities

The Expectations

In your first 30 days, you will learn about CockroachDB and will be able to pitch the product proficiently. We believe that it is necessary for you to build this foundation so you can successfully engage with existing accounts and grasp the sales strategy. Upon completion of your first month, you will have built cross-functional relationships and will have started building your strategy for account penetration.

After three months, you'll have a sound plan for account strategy and mapping. You have started building relationships with several leaders across your region and are beginning to understand their challenges and how CockroachDB can help solve them.

After six months, you will have 3x your quota in pipeline and will have at least 3 POCs in process.

You Have

• 3-5+ years of experience selling enterprise solutions and demonstrated success in software sales within the database ecosystem or adjacent technologies

• Experience leading large and complex sales cycles within the C-Level at Fortune 500 companies, specifically within financial services

• A consultative and value-based approach to selling software for cloud, on-premise and hybrid deployments

• The ability to assess customer needs and build valuable, trusted relationships at all levels

• An interest and experience leveraging AI tools to improve your sales process

• A track record of overachievement and hitting sales targets

• Expert time management and resource skills

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The ideal candidate will have a proven track record in software/technology sales, consulting or customer success. They will have proven experience leading teams, driving software adoption, and building and scaling customer success management practices. They will have experience with software development lifecycle processes and tools as well as agile and/or DevOps practices. They will be knowledgeable with cloud/container technologies (e.g., Kubernetes, Docker), application security (SAST, DAST) and/or cloud deployment models (AWS, GCP, Azure) is a plus. They will have a proven ability to develop strategies, translate them into initiatives and track successful delivery. They will have demonstrated ability to lead managers and successfully manage global, distributed teams across cultures, lines of business, and geographies. They will possess a strong management presence and leadership ability, with communication and interpersonal skills that inspire and motivate leaders and teams. They will demonstrate operational excellence in analytical thinking, process development and improvement, problem-solving, communication, delegation, and planning. They will be able to collaborate across the organization and with external stakeholders. They will have experience successfully working with senior executives (VP/CxO). They will hold strong operational skills that will drive organizational efficiencies and customer satisfaction. They will be comfortable giving and receiving positive and constructive feedback. They will be able to connect technology with measurable business value. They will have strategic thinking about business, products, and technical challenges.

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Your primary responsibilities will include delivering interactive presentations and solution demonstrations to all levels of an organization, whiteboarding solutions, and leading Q&A sessions with prospective customers. You will also collaborate with account executives to develop and execute territory and account strategies to maximize the Okta opportunity in those accounts.

To be successful in this role, you will need to have a strong technical understanding of the Auth0 product line and the underlying technologies and protocols. You should also be able to communicate effectively with both technical and non-technical audiences.

In addition to your technical expertise, you will need to have excellent communication and interpersonal skills, as well as the ability to work in a fast-paced environment.

As a Solutions Engineer, you will have the opportunity to work with a variety of customers and projects, and to contribute to the growth and success of our business.

If you are a motivated and detail-oriented individual with a passion for technology and customer service, we encourage you to apply for this exciting opportunity.

The annual On Target Compensation (OTE) range for this position for candidates located in Germany is between €122,000-€134,000 EUR.

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You will serve as the primary bridge between international government stakeholders and xAI's engineering, research, and product teams,driving adoption of AI for civilian and public-sector use cases such as policy analysis, public health modelling, education, scientific research support, regulatory workflows, disaster response, and citizen services.

Responsibilities:

• Lead problem discovery, requirements gathering, and product scoping with key South American government customers and organisations, often on-site during international assignments and travel.
• Support the full lifecycle of engagements: from initial outreach and proposal development through solution design, prototyping, deployment, integration, and ongoing optimisation.
• Meet customers on-site to deploy xAI models/products in their environments, integrate with existing systems, or enable cloud-based access,working closely alongside applied engineers and technical teams.
• Identify customer pain points, translate mission needs into technical specifications, and collaborate with xAI teams to customise or build LLM-powered solutions tailored to regional priorities.
• Ensure solutions comply with relevant international and regional regulations (e.g., data protection, sovereignty, and ethical AI guidelines).
• Analyse system performance (logs, prompts, outputs) to drive reliability, effectiveness, and continuous improvement.
• Build and maintain strong relationships with government stakeholders, multilateral organisations, and partners across South America.
• Contribute to new business development, including preparing proposals, demos, and strategic roadmaps aligned with xAI's capabilities

Basic Qualifications:

• Proven experience partnering with international government agencies, regional/local administrations, multilateral organisations, or public-sector entities on AI, software, data, or technology initiatives (experience in South America or Latin American markets strongly preferred).
• 5+ years in government relations, public sector consulting, solution engineering, product management, or customer-facing technical roles,ideally involving complex deployments or enterprise-scale AI/software projects.
• Strong understanding of AI applications in public sector contexts (e.g., policy, healthcare, education, environment, or emergency management).
• Excellent communication and presentation skills; ability to translate technical concepts for non-technical government audiences and vice versa.
• Willingness and ability to travel internationally (primarily South America, up to 30-50% as needed).
• Bachelor's degree or equivalent experience in a relevant field (e.g., international relations, computer science, public policy, engineering)

Preferred Skills and Experience:

• Direct experience working with South American governments or organisations (e.g., Argentina, Chile, Colombia, Peru, Honduras or multilateral bodies like OAS/IDB).
• Familiarity with regional data protection regulations, sovereignty requirements, or ethical AI frameworks in Latin America.
• Technical background (e.g., experience with LLMs, APIs, cloud deployments, or data analysis) or proven ability to work closely with engineering teams.
• Fluency in Spanish and/or Portuguese (in addition to English) is highly desirable.
• Track record of delivering high-impact projects under tight timelines in dynamic or resource-constrained environments

Compensation and Benefits: $180,000 - $440,000 USD Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks

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This is a high-ownership, fullstack-but-backend-heavy role that sits between R&D and frontend. You will work end-to-end across graphics/ML algorithms, backend services, and frontend UI , turning proof-of-concepts into shipped features that users can rely on. The ideal candidate enjoys making complex, messy systems work smoothly in production and improving them continuously based on both internal testing and external user feedback.

Key Responsibilities

• Bridge research and product by working closely with both graphics/computer vision researchers and frontend engineers to ship usable features.
• Turn standalone Python scripts into clean, production-ready systems with clear inputs, outputs, validations, and failure modes.
• Develop backend services, APIs, and tooling that expose complex 3D workflows in a reliable and scalable way.
• Assist in integrations across the 3D ecosystem, including asset import/export and format conversion with common DCC tools.

Ideal Candidate Profile

• You have a strong pipeline mindset, with experience turning scripts into production systems with clear inputs, outputs, validations, and failure modes.
• You enjoy building tools and infrastructure that enable others, and you take pride in making complex systems understandable and usable.
• You have fluency in the 3D ecosystem, including familiarity with 3D algorithms, DCC tools and common 3D file formats, sufficient to design integrations and debug workflow issues.

Minimum Qualifications

• Strong proficiency in Python, including packaging, typing, tooling, debugging, and performance profiling.
• Strong literacy in core 3D graphics and computer vision concepts, such as transforms, cameras, coordinate systems, rendering, and visual artifact debugging.
• Demonstrated experience taking prototypes to production, including refactoring, testing, CI/CD, versioned artifacts, and reproducibility.
• Solid backend fundamentals, including HTTP APIs, FastAPI (or similar frameworks), async/concurrency basics, cloud deployment, and service reliability.

Strongly Preferred / Nice-to-Haves

• Experience with photogrammetry, 3D reconstruction, or Gaussian splat rendering pipelines.
• Hands-on experience with DCC tools such as Blender, Maya, Houdini, Unreal, or Unity.
• Familiarity with the GPU stack (CUDA, PyTorch), batch/queue systems, and containerization (Docker, Kubernetes).
• Frontend adjacency, with comfort collaborating on React-based parameter plumbing and UX for technical controls.
• Experience with production pipelines at VFX, animation, or gaming studios.
• A production support mindset, including willingness to iterate on documentation, tutorials, and error messages to improve usability and reduce misuse.

Example Projects You Might Work On

• Packaging ML and 3D Python pipelines into GPU-backed FastAPI services with request validation, reproducible outputs, and well-defined request/response schemas.
• Designing parameter schemas and defaults that map cleanly from frontend controls to backend APIs and internal pipeline configurations.
• Integrating import/export workflows with popular DCC tools (e.g., Blender, Maya, Houdini, Unity, Unreal, USD), identifying workflow friction, and producing lightweight documentation, tutorials, and example code/scripts to help users succeed.

Who You Are

• Fearless Innovator: We need people who thrive on challenges and aren't afraid to tackle the impossible.
• Resilient Builder: Impacting Large World Models isn't a sprint; it's a marathon with hurdles. We're looking for builders who can weather the storms of groundbreaking research and come out stronger.
• Mission-Driven Mindset: Everything we do is in service of creating the best spatially intelligent AI systems, and using them to empower people.
• Collaborative Spirit: We're building something bigger than any one person. We need team players who can harness the power of collective intelligence.

We're hiring the brightest minds from around the globe to bring diverse perspectives to our cutting-edge work. If you're ready to work on technology that will reshape how machines perceive and interact with the world - then World Labs is your launchpad.

Join us, and let's make history together.

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We currently have 614 open roles

Principal AI Engineer – Enterprise Agentic AI

Job Summary

You are a highly skilled, hands-on engineer with a passion for embedding advanced AI into the heart of enterprise business systems. With a robust enterprise background and a minimum of 10 years in software engineering, you thrive on architecting and delivering production-grade AI solutions that drive real business outcomes.

Key Responsibilities

• Lead the architecture and hands-on development of enterprise agentic AI platforms across core business domains.
• Build and deploy AI copilots and multi-agent workflows for business teams (Legal, Finance, Sales, HR, Operations) using Microsoft AI Copilot, SAP BTP, Salesforce, and other platforms.
• Embed AI directly into enterprise workflows, ensuring seamless integration with ERP and CRM systems.
• Design, implement, and govern secure AI solutions utilizing MCP (Model Context Protocol) and A2A (Agent-to-Agent) orchestration standards.
• Develop scalable APIs and microservices in Python and C#, supporting robust, production-ready AI deployments.
• Ensure production readiness through best practices in CI/CD, observability, reliability, and continuous evaluation.
• Mentor engineers, lead architectural discussions, and collaborate with cross-functional business and technical stakeholders.

Impact

• Drive the adoption of agentic AI across Synopsys' core business systems, setting standards for enterprise AI integration and governance.
• Deliver high-visibility, high-impact AI solutions that transform business processes and decision-making for teams company-wide.
• Shape the architecture and best practices for scalable, secure, and reliable AI across hybrid and multi-vendor environments.
• Empower business teams to leverage AI copilots and intelligent workflows for increased productivity and innovation.
• Mentor and upskill engineering teams, fostering a culture of excellence, collaboration, and forward-thinking AI adoption.
• Ensure AI solutions meet enterprise standards for security, compliance, reliability, and operational excellence.

Requirements

• 10–15 years of software engineering experience, with a focus on enterprise systems.
• Expert-level proficiency in both Python and C#.
• Hands-on experience building and operating production AI/GenAI systems integrated with ERP and CRM platforms.
• Deep understanding of agentic AI, RAG, multi-step workflows, and enterprise-grade AI architecture.
• Proven experience with Microsoft AI Copilot, Copilot Studio, Microsoft AI Foundry, SAP BTP, and Salesforce AI (including Einstein and agentic capabilities).
• Expertise in microservices, API development, CI/CD pipelines, and cloud deployments.
• Experience with SQL, NoSQL, and vector databases.
• Preferred: Familiarity with LangChain, LangGraph, LlamaIndex, MCP, A2A, and prior support for business functions such as Legal, Finance, Sales, or HR.

Who You Are

• Enterprise-minded engineer with a strong platform and architecture focus.
• Hands-on leader who enjoys mentoring and collaborating across business and technical teams.
• Pragmatic, delivery-oriented, and able to translate business needs into robust AI solutions.
• Adaptable and comfortable working in fast-changing, multi-vendor, and hybrid environments.
• Excellent communicator, able to articulate complex technical concepts to diverse audiences.
• Committed to continuous learning and keeping pace with the latest in AI and enterprise technology.

The Team You’ll Be A Part Of

You will join a cross-functional, forward-thinking engineering team responsible for embedding trustworthy, scalable AI into Synopsys’ most critical business systems. Our team partners closely with business stakeholders and platform owners to deliver agentic AI workflows that create measurable business value. We are passionate about innovation, operational excellence, and setting the standard for enterprise AI adoption.

Rewards and Benefits

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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Job Description

As a Principal Program Manager at Synopsys, you will be responsible for driving programs that accelerate the development, deployment, and go-to-market activities for our electronics digital twin platform. You will collaborate with cross-functional teams to align objectives and timelines, facilitate communication and coordination between stakeholders, and develop and maintain program documentation.

Key Responsibilities

• Drive programs that will help accelerate the development, deployment and go-to-market activities for our electronics digital twin platform, ensuring project milestones and deliverables are met across multiple teams.
• Collaborate with cross-functional teams, including engineering, cloud, legal, finance and GTM, as well as within our product management organization, to align objectives and timelines.
• Facilitate communication and coordination between various stakeholders to resolve issues and remove blockers.
• Develop and maintain program documentation, project plans, and status reports for leadership and stakeholders.
• Identify risks, mitigate challenges, and proactively address ambiguity in deployment and cloud platform scenarios.
• Act as a key influencer to champion best practices and continuous improvement across the organization.

Impact

• Accelerate the deployment of our electronics digital twin platform, including associated technologies, business infrastructure, and ecosystem.
• Enhance cross-team collaboration, fostering a culture of transparency and accountability.
• Streamline platform deployment processes, reducing time-to-market and improving quality outcomes.
• Drive alignment between technical and business teams, ensuring successful deployment in cloud environments.
• Support Synopsys' strategic goals by ensuring seamless enablement of critical platform capabilities to customers.

Requirements

• Proven experience in program management for complex cloud-based platforms, preferably in a highly technical electronics domain involving software.
• Strong technical background, with exposure to software development, cloud deployment, and system validation.
• Excellent communication, documentation, and stakeholder management skills.
• Ability to influence and drive projects across multiple teams and functions.
• Demonstrated experience working with customer-facing teams and in a product management organization.

Team

You will join the product management team for the System Software Line of Business (LOB), focusing on Synopsys electronics digital twin platform. This team interfaces with multiple functions across Synopsys, collaborating closely with engineering, cloud infrastructure, finance, legal, ecosystem, and sales enablement to ensure successful deployment of the platform.

Rewards and Benefits

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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At Quantexa, you’ll experience autonomy and support in equal measures allowing you to form a career that matches your ambitions. 41% of our colleagues come from an ethnic or religious minority background. We speak over 20+ languages across our 50+ nationalities, creating a sense of belonging for all.

Join us in an exhilarating opportunity working with a determined and dynamic team of Solution Engineers, focused on North America. As a pivotal member of our regional force, you'll help drive Solution Engineering priorities across financial services industry vertical. Your influence will resonate in every facet of our commercial strategy, collaborating closely with regional peers in alliances, sales, marketing, and product management.

We seek an individual with profound technical and business acumen, adept at demystifying complex concepts with clarity and precision. You'll dazzle with presentations, deliver captivating product demos, and dive deep into client opportunities, leaving a lasting impression at industry events and webinars. Become the authoritative voice for our solutions and technology in the region, forging trust with executives through relatable dialogue.

In the Quantexa Solution Engineering (SE) team, you'll spearhead the initial connection between prospect organizations and the Go to Market team (GTM), setting the cornerstone for their journey. We seek an individual with profound technical and business acumen, adept at de-mystifying complex concepts with clarity and precision. You will:

• Uncover customer pain points: Use targeted, precise solution engineering techniques to identify the real challenges our prospects.
• Design and deliver tailored solutions: Create compelling presentations and deliver impactful product demos—adapting depth and content to resonate with each audience.
• Own the POC lifecycle: Manage the end-to-end proof of concept process. Define and align on success criteria, showcase sprint outcomes that clearly demonstrate value, and generate excitement around our solution.
• Ensure a smooth handover: Before transitioning to the delivery team, confirm a shared understanding of the customer’s pain and how the Quantexa solution addresses it.
• Be the face of Quantexa: Represent our brand with pride—whether engaging with prospects, supporting customers, or speaking at industry events and webinars.

Are you ready to shape the future of Solution Engineering with us? Join our ranks and be part of this extraordinary journey!

Probe and grasp prospect pain points, showcasing Quantexa's transformative solutions. Partner closely with Sales Directors to shape the opportunity strategy, qualify deals and influence account planning. Cultivate trust as the go-to advisor to clients, big and small, crafting compelling Value Engineering strategies. Craft tailored Proofs of Concept alongside the rest of GTM for maximum impact that capture the customers business problems. Lead the process of ‘Discovery’ and then ‘Solutionize’ with our prospects, to iterate and hone in on the right joint solution for all parties. Collaborate seamlessly with Quantexa's commercial teams, product experts and SMEs, embodying our core value of being a team player. Flawlessly lead product demos and presentations, qualify opportunities and manage compliance statements. Elevate Quantexa's profile through industry events such as SIBOS, ACAMS and thought leadership; and Provide feedback to Product and Engineering teams based on market and customer input to help shape roadmap opportunities.

Requirements

• Extensive experience in technology as a bridge between business and technical users /stakeholders in a commercially focused technical sales role e.g. Presales, Solution Engineering, Technical Sales, Solution Consulting, Product Management etc.
• Experience working with large banks or financial institutions including familiarity with buying cycles in regulated environments.
• Demonstrate technological mastery in data-powered, analytical solutions like Entity Resolution, Network Generation or Advanced Analytics.
• Proven track record of working in data management ecosystem with exposure to tools, technology and organizational data estate in world of analytics and AI.
• Ability to present to and excite senior leaders in Financial Services, leveraging technical acumen and deep knowledge of the banking ecosystem and establish trust and rapport with prospects.
• Command robust knowledge in technology and architecture particularly within the realm of enterprise software, such as big data technology, Elastic /OpenSearch, on-prem/on cloud deployment of open architectures.
• You’re all about the customer, and you’ll engage and captivate audiences of all sizes with an innate ability to simplify intricate concepts.
• Ability to travel across North America (25 – 40%) depending on customer needs and location; and
• Boast domain expertise across various realms of financial services (Risk, Anti-Financial Crime, Anti-fraud, AML, KYC, CRM) or in more general data management concepts (data quality, data warehousing, data fabric, etc.)

Nice to have:

• Experience working with scale-up companies; and
• Experience to Quantexa’s partner ecosystem (AWS, Azure, GCP, Databricks, Elasticsearch).

Benefits

We offer:

• Competitive base salary of $160-200k
• Company bonus
• 100% 401K match up to 5%
• Comprehensive benefits coverage, including mental health support, fitness reimbursements, and financial well-being
• Tax-advantageous benefits, such as commuter benefits, healthcare, and dependent care
• Competitive annual leave, parental leave, PTO, and observed holidays
• Well-being benefits, such as the Calm App and Wellbeing 1/2 days off
• Continuous Training and Development, including access to Udemy Business
• Work from Anywhere Scheme: Spend up to 2 months working outside of your country of employment over a rolling 12-month period
• Employee Referral Program
• Team Social Budget & Company-wide Socials

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We are seeking a senior backend engineer to join our team in Shenzhen, China. As a senior backend engineer, you will be responsible for designing, developing, and optimizing our core backend systems, including payment gateways, settlement systems, mobile POS integrations, and financial service APIs.

Responsibilities

• Design, develop, and optimize high-performance backend services and APIs (REST/gRPC) using Kotlin or Java
• Participate in backend architecture design to ensure system high availability and scalability
• Troubleshoot and optimize system performance issues to ensure system stability
• Collaborate closely with frontend, product, and testing teams to drive project delivery
• Write high-quality, maintainable code and participate in code reviews
• Stay up-to-date with the latest trends in backend and cloud technologies

Requirements

• 5+ years of experience in backend development (Kotlin or Java)
• Familiarity with microservices architecture, cloud deployment (AWS/GCP), and CI/CD pipelines (GitHub Actions)
• Proficiency in SQL/NoSQL databases (PostgreSQL, MySQL, Redis)
• Familiarity with Docker, Kubernetes, and message queue systems (Kafka)
• Familiarity with API design (REST/gRPC) and version control (GitHub)
• Familiarity with agile development processes and good team collaboration skills
• Good English communication skills (Mandarin or Cantonese is a plus)
• Experience in financial technology, payment, or settlement systems is a plus

Preferred Skills

• High concurrency and large-scale system development experience
• Understanding of DevOps, CI/CD pipelines, and ability to drive automation deployment and operations
• Experience in distributed systems or data architecture design
• Contributions to open-source communities or personal technical blogs

Why Join Kody?

• Global technology company with offices in Singapore, London, and Hong Kong
• Flexible work arrangements in Shenzhen and Hong Kong
• Technology-driven culture with engineers having core influence on product decisions
• Challenging projects, including large-scale backend architecture design and optimization
• Competitive salary and benefits to reward your technical contributions

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At Kody, we're redefining how businesses take payments and access financial services. As a fast-growing Fintech, we partner with some of the most recognised names in hospitality, F&B, and retail across Hong Kong, helping them modernise payments, settlement, and digital financial experiences.

Our Hong Kong tech team runs like a startup within a scaling company, i.e. agile, innovative, and deeply product-driven. We're now looking for a Senior Backend Engineer to help us build the next generation of payment and settlement infrastructure.

Why Join Us?

• Work with industry-leading brands in Hong Kong and across the region
• Join a fast-moving, innovative tech culture with the stability of a growing international company
• Build with modern tools and stacks: Kotlin, Kafka, Kubernetes, Redis, PostgreSQL, and cloud-native frameworks
• Enjoy flexibility while working with a passionate, highly skilled engineering team
• Access learning and development and the opportunity to travel for collaboration with our global tech teams

Your Role

As a Senior Backend Engineer, you'll be at the heart of our platform, designing and scaling systems that power Kody's products, from payment gateways and settlement systems to mobile POS integrations and financial service APIs.

Responsibilities

• Design, build, and maintain backend services and APIs (REST/gRPC)
• Contribute to backend architecture and ensure system reliability and scalability
• Debug, troubleshoot, and optimise performance in production systems
• Collaborate with product, QA, and frontend teams to deliver robust, maintainable solutions
• Write clean, efficient, and well-tested code
• Stay current with modern backend and cloud technologies

Requirements

• 5+ years of experience in backend software development (Kotlin or Java)
• Strong understanding of microservices, cloud deployment (AWS/GCP), and CI/CD pipelines (GitHub Actions)
• Proficiency in SQL/NoSQL databases (PostgreSQL, MySQL, Redis)
• Familiar with Docker, Kubernetes, and event-driven systems (Kafka)
• Solid understanding of APIs (REST, gRPC) and version control (GitHub)
• Familiarity with agile development processes
• Fluent in English (Mandarin or Cantonese a plus)
• Fintech, payment, or settlement background is a plus

Benefits

• Competitive compensation and meaningful work impact
• Equity available
• Flexibility and a global, tech-driven culture
• Career growth opportunities within a fast-scaling fintech
• Work with ambitious teammates who think big and execute fast

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As a Senior Backend Engineer at Kody, you will be responsible for designing, developing, and optimizing our core backend systems, including payment gateways, settlement systems, mobile POS integrations, and financial service APIs.

Responsibilities

• Design, develop, and optimize high-performance backend services and APIs (REST/gRPC) using Kotlin or Java
• Participate in backend architecture design to ensure system high availability and scalability
• Troubleshoot and optimize system performance issues to ensure system stability
• Collaborate closely with frontend, product, and testing teams to drive project delivery
• Write high-quality, maintainable code and participate in code reviews
• Stay up-to-date with the latest developments in backend and cloud technologies

Requirements

• 5+ years of experience in backend development (Kotlin or Java)
• Familiarity with microservices architecture, cloud deployment (AWS/GCP), and CI/CD pipelines (GitHub Actions)
• Familiarity with SQL/NoSQL databases (PostgreSQL, MySQL, Redis)
• Familiarity with Docker, Kubernetes, and message queue systems (Kafka)
• Familiarity with API design (REST/gRPC) and version control (GitHub)
• Familiarity with agile development processes and good team collaboration skills
• Good English communication skills (Mandarin or Cantonese is a plus)
• Experience in financial technology, payment, or settlement systems is a plus

Preferred Qualifications

• Experience in high-concurrency, large-scale system development
• Understanding of DevOps, CI/CD pipelines, and ability to drive automation deployment and operations
• Experience in distributed systems or data architecture design
• Contributions to open-source communities or personal technical blogs

Why Join Kody?

• Global technology company with offices in Singapore, London, and Hong Kong
• Flexible work arrangements in Shenzhen and Hong Kong
• Technology-driven culture with engineers having core influence on product decisions
• Challenging projects, including large-scale backend architecture design and optimization
• Competitive salary and benefits to reward your technical contributions

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Responsibilities

• Tracking through features from product management to software architecture, design and implementation on an embedded platform
• Developing features to support existing and new networked audio processing products
• Continuous improvement to maintain stability and performance of the product family
• Responsibility for bug tracking, software revision control and release process
• Interfacing, maintenance and adding to the control web app
• Selection and test of new support technologies such as embedded libraries to implement new features
• Implement new features in response to customer feedback and product support requests
• Develop new products on the platform and related technologies
• Maintain the platform for periodic feature releases
• Create a structured test framework and process

Job Scope

• Develop the software to support the existing and derived hardware platforms from driver level up to application features
• Become proficient with a good working knowledge of the underlying hardware to be able to create appropriate subsystems within the constraints of the platform

Skills and Experience Required

• Degree qualified in software engineering or related engineering subject
• Be strong in embedded development/debugging and problem solving
• Have good knowledge of embedded C and C++, experience with using a real-time operating system, and knowledge of common embedded processor peripherals
• Have a good detailed knowledge of Embedded TCP/IP networking

Benefits

• Life Assurance
• Income Protection
• Pension
• Bike2work scheme
• 25 days holiday (increasing with service)
• Medical Cash Plan and Private Healthcare options
• Substantial staff discount on company products
• Participation to company bonus scheme
• Opportunity to join our EV scheme

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Responsibilities:

• Develop Infrastructure-as-Code using Terraform, CDK, or Pulumi
• Develop CI/CD pipelines for Cloud Deployments
• Develop custom automation using Lambda Functions or Azure functions
• Manage code repositories and perform peer code reviews
• Maintain code hygiene and write test cases for solutions
• Mentor and train junior engineers in your pod
• Work side-by-side with customers to design, diagram, and document complex integrations
• Establish partnerships and strategic relationships with contacts at our biggest brands
• Analyse and audit existing Helpshift implementations to make improvements
• Become an expert at using Helpshift's administrative tools
• Work collaboratively with Account Managers, Customer Success Managers, and Sales teams
• Continually optimise the overall development process

Requirements:

• 3 years of SaaS experience in a specialization such as consulting services, technical pre-sales, or solution engineering
• Proven experience translating ambiguous customer requirements into actionable technical solutions
• Proficiency with Python, Go, C#, Node.js, or Powershell
• Proficiency with deploying cloud solutions on AWS or Azure
• Familiarity with technical SaaS concepts such as SDKs, APIs, and cloud computing
• Exceptional organisational skills and a project management mindset
• Understanding of Object-Oriented Programming concepts
• Excellent communication skills and ability to lead meetings with customer executives and analysts
• Proficiency in G-Suite and ability to perform data analysis tasks
• Curiosity about complex systems and natural problem-solving skills

Benefits:

• Hybrid setup
• Worker's insurance
• Paid Time Offs
• Other employee benefits to be discussed by our Talent Acquisition team in Pune

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Responsibilities:

• Understand no code automation concepts and CI/CD pipelines for Cloud Deployments
• Develop no code automation / Logic Apps (Lambda Functions/ Azure functions)
• Understand programming languages such as Python, JavaScript, bash, powershell, C#
• Managing code repositories and performing peer code reviews
• Ability to maintain the code hygiene and writing test cases for the solutions
• Assist with proof of concepts for strategic and enterprise customers
• Work side-by-side with our technical account managers to design, build, and deploy complex integrations for our customers
• Establish partnerships and strategic relationships with contacts at our biggest brands
• Time management is critical and should be able to manage multiple tasks/projects simultaneously
• Analyze and audit existing Helpshift implementations for the purpose of making improvements
• Become an expert at using Helpshift’s administrative tools which include a suite of AI products, bots, and other mission-critical support functions
• Work collaboratively with Account Managers, Technical Account Managers, Customer Success Managers, and Sales to ensure customers’ overall success with the product
• Collaborate with project managers to ensure sprint planning is completed on time and project deliverables are trackable in JIRA
• Continually optimize the overall implementation processes with improvements to documentation, trainings, demos and other customer-facing content

Requirements:

• You have a minimum of 4 years of SaaS experience in a specialization such as consulting services, technical pre-sales or technical project management
• You are proficient with any of: Python, Go, C#, Node.js, Powershell
• You are proficient with deploying cloud solutions on AWS or Azure (preferred)
• You are familiar with technical SaaS concepts such as SDKs, APIs and cloud computing
• You are exceptionally organized and a project manager at heart
• You value performing tasks as efficiently as possible and you dislike seeing mistakes repeated
• You have excellent communication skills and are comfortable leading meetings with customer executives and analysts alike
• You are proficient in the entire G-Suite and can perform data analysis tasks including generating pivot tables and writing complex formulas in Sheets/Excel
• You are curious about complex systems and a natural problem solver
• Bonus points for previous experience in a support role or call centre Benefits:
• Hybrid setup
• Worker's insurance
• Paid Time Offs
• Other employee benefits to be discussed by our Talent Acquisition team in Pune Helpshift embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, sexual orientation, gender identity, religion, national origin, citizenship, marital status, veteran status, or disability status

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Team

Our team is organised around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier. Our team likes to think across the whole model stack. Currently the team is focused on improving models' abilities to use computers – as a laboratory for long horizon tasks and a key blocker to many scientific workflows.

About the role

As a Research Engineer on our team you will work end to end, identifying and addressing key blockers on the path to scientific AGI. Strong candidates should have familiarity with language model training, evaluation, and inference, be comfortable triaging research ideas and diagnosing problems and enjoy working collaboratively. Familiarity with performance optimisation, distributed systems, vm/sandboxing/container deployment, and large scale data pipelines is highly encouraged.

Join us in our mission to develop advanced AI systems that are both powerful and beneficial for humanity.

Responsibilities:

• Working across the full stack to identify and remove bottlenecks preventing progress toward scientific AGI
• Develop approaches to address long-horizon task completion and complex reasoning challenges essential for scientific discovery
• Scaling research ideas from prototype to production
• Create benchmarks and evaluation frameworks to measure model capabilities in scientific workflows and computer use
• Implement distributed training systems and performance optimisations to support large-scale model development

You may be a good fit if you:

• Have 8+ years of ML research experience
• Are familiar with large scale language model training, evaluation, and inference pipelines
• Enjoy obsessively iterating on immediate blockers towards longterm goals
• Thrive working collaboratively to solve problems
• Have expertise in performance optimisation and distributed computing systems
• Show strong problem-solving skills and ability to identify technical bottlenecks in complex systems
• Can translate research concepts into scalable engineering solutions
• Have a track record of shipping ML systems that tackle challenging multi-step reasoning problems

Strong candidates may also have:

• Expertise with performance optimisation for language model inference and training
• Experience with computer use automation and agentic AI systems
• A history working on reinforcement learning approaches for complex task completion
• Knowledge of containerisation technologies (Docker, Kubernetes) and cloud deployment at scale
• Demonstrated ability to work across multiple domains (language modelling, systems engineering, scientific computing)
• Have experience with VM/sandboxing/container deployment and large-scale data processing
• Experience working with large scale data problem solving and infrastructure
• Published research or practical experience in scientific AI applications or long-horizon reasoning

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification.** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us.** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science.

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Location

Washington, DC; San Francisco; Seattle

Employment Type

Full time

Location Type

Hybrid

Department

OpenAI for Gov

Compensation

• $145.8K – $280K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the team

The OpenAI for Government team is a dynamic, mission-driven group leveraging frontier AI to transform how governments achieve their missions. Our team works to empower public servants with secure, compliant AI tools (e.g., ChatGPT Enterprise, ChatGPT Gov) and mission-aligned deployments that meet government technical requirements with strong reliability and safety.

About the role

Forward Deployed Engineers (FDEs) lead complex deployments of frontier models in production. You will embed with our most strategic government and public sector customers—where model performance matters, delivery is urgent, and ambiguity is the default. You’ll map their problems, structure delivery, and ship fast. This includes scoping, sequencing, and building full-stack solutions that create measurable value, while driving clarity across internal and external teams.

You will work directly with defense, intelligence, and federal stakeholders as their technical thought partner, guiding adoption, maximizing mission impact, and ensuring successful deployments at scale. Along the way, you’ll identify reusable patterns, codify best practices, and share field signal that influences OpenAI’s roadmap.

This role is based in Washington DC, Seattle or San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required, including on-site work with customers.

In this role you will

• Own technical delivery across multiple government deployments, from first prototype to stable production.
• Enable successful deployments across customer environments by delivering observable systems spanning infrastructure through applications.
• Prototype and build full-stack systems using Python, JavaScript, or comparable stacks that deliver real mission impact.
• Proactively guide customers on maximizing business and operational value from their applications.
• Forge and manage relationships with customer leadership and stakeholders, ensuring successful deployment and scale.
• Scope work, sequence delivery, and remove blockers early—making trade-offs between scope, speed, and quality.
• Contribute directly in the code when clarity or momentum depends on it.
• Codify working patterns into tools, playbooks, or building blocks others can use.
• Share field feedback with Research and Product to influence model and product development.
• Keep teams moving through clarity, judgment, and consistent follow-through.

You might thrive in this role if you

• Bring 5+ years of engineering or technical deployment experience, ideally in customer-facing or government environments.
• Active TS/SCI clearance or equivalent
• Have scoped and delivered complex systems in fast-moving or ambiguous contexts.
• Write and review production-grade code across frontend and backend, using Python, JavaScript, or similar stacks.
• Are familiar with cloud deployment models (Azure, AWS), Kubernetes, Terraform, and related infrastructure.
• Simplify complexity, make fast, sound decisions under pressure, and communicate clearly across technical and non-technical audiences.
• Spot risks early, adjust without slowing down, and model calm judgment when stakes are high.
• Are humble, collaborative, and eager to help others with empathy.
• Operate with high horsepower, thrive in dynamic environments, and can ruthlessly prioritize across multiple projects.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we are committed to researching and developing AI in a responsible way.

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San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $230K – $490K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses.

You’ll join the team responsible for running the core infrastructure that supports products like ChatGPT and the API. The systems we support include our kubernetes clusters, infrastructure deployment, our networking stack, cloud abstractions, and more.

We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.

About the Role

The cloud infrastructure team builds and maintains infrastructure abstractions allowing OpenAI to ship products quickly and scalably.

This role is based in San Francisco, CA.

In this role, you will:

• Design and build the development and production platforms that power our products, enabling reliability and security at scale

• Ensure our infrastructure can scale to the next order of magnitude

• Help create a diverse, equitable, and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group think

• Like all other teams, we are responsible for the reliability of the systems we build. This includes an on-call rotation to respond to critical incidents as needed.

You might thrive in this role if you:

• Have 5+ years building core infrastructure

• Have experience operating orchestration systems such as Kubernetes at scale

• Have experience building abstractions over cloud platforms

• Take pride in building and operating scalable, reliable, secure systems

• Are comfortable with ambiguity and rapid change

This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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What you'll do

Act as the primary interface between the research team and the deployment ecosystem, ensuring seamless transition from innovation to production.

• Own interactions with external AI and LLM providers to facilitate integration and optimize performance across platforms.
• Lead information security and compliance approvals for product deployments, maintaining high standards of data protection and privacy.
• Design, build, and evolve the build and development environment, including robust CI/CD pipelines for automation and reliability.
• Manage releases end-to-end, from scheduling and execution to closure, ensuring timely and high-quality product delivery.
• Drive porting efforts and cross-platform support, broadening product reach and enabling scalability across cloud environments.

What you need

• Strong proficiency in Git, CI/CD, and version control workflows.
• Expertise in operating systems and cloud deployments (Azure, GCP, AWS).
• Hands-on experience with Docker/Kubernetes and infrastructure-as-code practices.
• Ability to design and build distributed systems at scale.
• Proficiency in Python or another scripting language for automation.
• Experience in model inferencing frameworks (vLLM, TGI) is highly desirable.

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