While Delivery Teams build and launch new use cases, you are the technical steward ensuring these deployments operate with Operational Excellence. You will bridge software engineering, MLOps, and client governance, managing tiered SLAs, tracking model drift, and executing maintenance protocols that protect both system integrity and operational margins.

Key Responsibilities

• Handover Gate & Onboarding: Act as the technical gatekeeper during the formal transition from Delivery to Maintenance. Conduct deep-dive reviews to ensure baseline code, prompts, and architecture meet strict maintainability and documentation standards before sign-off.

• Tiered SLA & Incident Management: Own technical response and resolution targets across multi-tiered service models (from Business-Hours Essential to 24/7 Mission-Critical). Lead Incident Governance, Root Cause Analysis (RCA), and P1/P2 mitigations within strict active support windows.

• AI Lifecycle Governance: Monitor production model performance, latency, and data drift. Manage prompt configuration repositories to maintain behavioral consistency and perform regression testing when LLM providers update underlying endpoints.

• Request Classification & Technical Scope: Operationalize the boundary between Routine Maintenance (In-Scope) and System Evolution (Out-of-Scope). Assess incoming client requests and run comparative benchmarking on new AI models.

• Automation & Reliability Engineering: Eliminate operational toil by engineering self-healing data pipelines, automated RAG indexing syncs, and telemetry tooling. Influence upstream "Delivery" teams to adopt architectural patterns that simplify ongoing maintenance.

• Client Technical Interface: Serve as the senior technical point of contact for government and enterprise IT leads. Translate technical AI concepts (data drift, prompt versioning, API deprecation) into clear business impacts for non-technical stakeholders.

Ideally you'd have

• Background: 5+ years in Software Engineering, MLOps, SRE, or Forward Deployed Engineering in heavy data or production AI environments.

• Technical Stack: Advanced proficiency in Python, SQL, REST/gRPC APIs, and cloud architecture (AWS, Azure, or GCP). Hands-on experience with MLOps tooling, vector databases, and LLM orchestration frameworks (e.g., LangChain, LlamaIndex).

• AI Governance Expertise: Practical understanding of prompt version control, model benchmarking against evaluation datasets, RAG pipeline mechanics, and data drift detection.

• Engineering Mindset: A drive to build systematic, automated fixes rather than applying temporary patches. Strong grasp of CI/CD for machine learning pipelines.

• Client Acumen & Boundary Control: Strong technical communication skills with the ability to manage client expectations, defend operational boundaries (Maintenance vs. Evolution), and advise on long-term system roadmaps.

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As a New Grad Software Engineer, you will own meaningful, customer-facing work from day one , shipping products, talking directly to the customers who use them, and iterating fast.

The Global Public Sector team focuses on using AI to address critical challenges facing the public sector worldwide.

Responsibilities:

• Create custom AI applications impacting millions of citizens
• Generate high-quality training data for national LLMs
• Provide upskilling and advisory services to spread AI impact

Example Projects:

• Build reinforcement learning and post-training data pipelines
• Develop evaluation infrastructure for model reliability
• Ship agentic AI applications and tooling
• Build fraud-detection systems
• Use models to estimate task and contributor quality
• Devise advanced matching algorithms
• Create optimized UI/UX tooling with ML algorithms
• Develop new AI infrastructure products
• Build a customer service RAG application
• Integrate ML models to predict churn

Requirements:

• Graduation date in Fall 2026 or Spring 2027 with a Bachelor's degree in a relevant field
• Product engineering experience with full-stack web apps, API integration, and customer interaction
• Previous product/software engineering internship experience
• Track record of shipping high-quality products at scale
• Experience building systems processing large volumes of data
• Experience with Python, Typescript, React, and/or MongoDB

Nice to have:

• Hands-on experience with LLMs, evaluations, or agentic systems
• Open source contributions or a portfolio of shipped side projects

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We are looking for a Software Engineering Intern to join our team in Doha, Qatar for Summer 2027.

Our internship programme is not a side project. As an intern, you will own real, shipped work on the same roadmaps as full-time engineers, with mentorship from world-class talent and a culture that values ownership, speed, and truth-seeking.

Responsibilities

• Create custom AI applications that impact millions of citizens
• Generate high-quality training data for national LLMs
• Provide upskilling and advisory services to spread the impact of AI

Example Projects

• Build reinforcement learning and post-training data pipelines
• Develop evaluation infrastructure for model reliability
• Ship agentic AI applications and tooling
• Build fraud-detection systems
• Use models to estimate task and contributor quality

Requirements

• Graduation date in Fall 2027 or Spring 2028 with a Bachelor's degree in Computer Science, EECS, Computer Engineering, or Statistics
• Available for Summer 2027 internship in Doha, Qatar
• Product engineering experience with web apps, APIs, and customer interactions
• Previous Computer Science/Software Engineering internship experience
• Track record of shipping high-quality products and features
• Experience with Python, Typescript, React, and/or MongoDB

Nice to Have

• Hands-on experience with LLMs, evaluations, or agentic systems
• Open source contributions or a portfolio of shipped side projects

How We Work

• Earn Customer Love
• Team Flow
• Quality is Our Cheat Code
• Find the 20%
• Write the Market
• Three Moves Ahead

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This role sits at the intersection of product marketing, content production, and regional growth strategy, and reports to Scale's Product Marketing Lead, Global Public Sector. We're looking for a Product Marketing Manager to drive the socialization and amplification of Scale's landmark government partnerships across Qatar, the GCC and beyond.

You will:

• Produce the Content That Tells Our Story: Create the case studies, one-pagers, solution briefs, thought leadership, web copy, and presentations that turn Scale's complex, technical work into clear, compelling narratives.
• Evangelize National Impact: Partner with customer stakeholders to extract and package success stories that demonstrate the real-world impact of Scale's technology.
• Support Product & Customer Marketing: Develop and localize messaging, positioning, and collateral so they resonate with public-sector buyers across the region.
• Steward Our Brand: Maintain Scale's brand voice and visual consistency across every touchpoint, from a sales email to the homepage.
• Support Launches & Campaigns: Drive the materials and copy behind new solutions, offerings, and campaigns as we bring them to market.
• Support Market Entry: Partner with the GPS Leads to support go-to-market in new markets, contributing the content, enablement, and campaign execution that turn strategy into pipeline.
• Create Alignment: Partner across sales, product, and delivery to gather input, keep projects moving, and ensure our external voice reflects what's true and differentiated about our work.
• Measure Impact: Track content and campaign performance in partnership with cross-functional teams.
• Partner with Comms and Events: Work with our global communications team and customers' PR arms to secure media placements and speaking opportunities for joint initiatives.

Ideally, you'd have:

• 5+ years of experience in Product Marketing or Customer Marketing, preferably within B2G (Business-to-Government), High-touch Enterprise SaaS or Consulting
• Public Sector Savvy: Experience navigating the complexities of government agencies and a deep understanding of the polished communication style required for high-level officials.
• Storytelling Excellence: A proven track record of turning technical deployments into compelling human-centric or national-impact narratives.
• Cultural & Regional Nuance: Familiarity and experience with the GCC business landscape; experience working in or with Qatar/Middle Eastern institutions.
• Autonomy & Velocity: Ability to thrive in a high-velocity environment where you must manage senior stakeholders independently.
• Collaboration Skills: Ability to work across time zones and functions (Sales, CS, and Product) to get the information you need.
• Fluency in Arabic (written and/or verbal).

Nice to haves:

• Experience marketing AI/ML infrastructure or data services.

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At Scale AI, we're building the future of AI through high-quality data and world-class design. Our products power critical decisions for businesses and governments worldwide.

Responsibilities

Lead 0-1 Design

Own the entire design process , from raw concept to final implementation , working directly with PMs and engineers to ship impactful products quickly

Develop Concepts

Extract key insights from PM and client feedback and translate them into compelling concepts

Manage Expectations

Respond effectively to multiple stakeholders and align them around a clear design direction

Communicate and Prototype Visually

Deliver polished verbal communication and visual storytelling using AI tools like Cursor and Claude Design to bring concepts to life

Design with Data

Make design decisions informed by research, data, and user insights

You're a great fit if you:

• Excel at navigating ambiguity in early stage products

• Have a mix of startup and established company experience; at least one role at a well-respected company with a strong product development culture

• Have experience in B2B products for government or enterprise clients

• Want your work to shape the role of AI in modern business applications

• Are fluent in Arabic and English

• Have prior work experience in the GCC (Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, UAE)

• Are based in the GCC or open to relocating

• Have hands-on experience with AI-powered design platforms such as Cursor and Claude

• Have a degree in HCI, Computer Science, or Graphic Design

• Have a strong portfolio demonstrating polish, professional presentation, and clear visual storytelling to broad audiences

Nice to haves:

• Experience at notable AI companies

• Technical background

Please note that our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

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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.

You will serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation.

Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes.

Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments.

Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases.

Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture.

Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team.

Ideally, you'd have a Master's or PhD in Computer Science or equivalent deep industry experience in architecting complex, distributed systems.

10+ years of full-stack expertise across Python, Node.js, and React, with a proven track record of designing high-scale architectures on Kubernetes and global cloud infrastructures (AWS/Azure/GCP).

Expert ability to design and oversee production-grade ecosystems, ensuring world-class standards for system integrity, security, and long-term scalability.

Extensive experience deploying and troubleshooting sophisticated end-to-end solutions directly within complex, high-security client environments.

A self-driven leader capable of resolving extreme ambiguity, mentoring senior staff, and setting the technical vision for the organization.

A driver of asynchronous workflows and documentation-first cultures to streamline global engineering velocity and reduce friction.

Proficient in Arabic.

Nice to haves include past experience working at a startup as a CTO or founding engineer or in a forward deployed engineer / dedicated customer engineer role, experience working cross functionally with operations, and a proven track record of building LLM-driven solutions with the strategic foresight to anticipate landscape shifts and architect future-proof systems.

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You will partner with public sector clients to deeply understand their challenges and define AI-driven solutions.

Key responsibilities include:

• Building and deploying end-to-end AI applications into production leveraging latest developments from the biggest AI labs, and open source models
• Collaborating with cross-functional teams, including data annotation specialists, to create high-quality training datasets
• Designing and maintaining robust evaluation frameworks to ensure the reliability and effectiveness of AI models
• Participating in customer engagements, including occasional travel (approximately two weeks per quarter)

Ideally you'd have:

• A strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)
• 7+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, TypeScript/JavaScript, Java, or C++
• 2+ years of experience applying AI/ML in production environments, such as deploying deep learning solutions, building generative/agentic AI applications or setting up evaluations pipelines
• Familiarity with cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure)
• Strong problem-solving skills, with a data-driven approach to iterating on machine learning models and datasets
• Excellent written and verbal communication skills to collaborate effectively in a cross-functional environment

Nice to haves:

• Experience working at a startup, particularly as founding engineer
• Experience building and deploying large-scale AI solutions
• Strong written and verbal communication skills to operate in a cross-functional team environment
• Proficiency in Arabic (if focused on language models)

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We develop bespoke solutions that leverage our customers’ proprietary data and expertise to transform their organisations with AI. We work with them to understand their pain points and workflows and then forward deploy our team to build cutting-edge solutions. The applications we build are powered by the Scale GenAI Platform, a full stack product to build, test and deploy frontier AI agents.

Responsibilities:

• Lead design workshops with the client to define custom AI solutions
• Scope out new AI application use cases across various government entities
• Lead cross-functional development of AI applications and custom LLMs with diverse stakeholders (Engineering + Ops + Go-to-Market)
• Consistently engage with future end-users to solicit feedback and ensure we are prioritising effectively
• Stay up to date with latest research in applied AI and training custom LLMs
• Scope out model evaluation sets and performance requirements, consistently review results, and iterate on the solution
• Give regular progress updates to the client and Global Public Sector leadership

Minimum Qualifications:

• 4+ years of experience building products with specific experience within the last 1-2 years building AI-powered products
• Strong technical background (STEM degree) and/or experience building technical software products
• Strong understanding of generative AI technologies and their applications in both enterprise and consumer settings
• Experience with vibe coding tools (i.e., Replit, Lovable, Bolt, etc.) and design tools (i.e., Figma/Canva/Miro)

Nice to haves:

• Coding experience (Python)
• Proficiency in Arabic, both written and spoken

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