Join the team as our next Staff Software Engineer in the Enterprise AI Engineering team. Twilio is undergoing a major business transformation powered by Enterprise AI, supported by a dedicated engineering team building the foundations for a unified, secure, and scalable operating system across GTM functions (Sales, Support, Operations, etc.) as well as Internal non-GTM functions (Finance, HR, Legal, etc.).

In this role, you'll co-lead the design and development of our software infrastructure, driving technical vision and strategy to ensure scalability, reliability, and performance. You will oversee the integration of complex React-based front-ends with backend modular services, ensuring a seamless UI experience.

As a Staff Software Engineer within Enterprise AI, you are the technical heartbeat of our products. Your role is to bridge the gap between bleeding-edge AI research and robust, full-stack production systems.

Responsibilities:

• Co-lead the design and development of our software infrastructure, driving technical vision and strategy to ensure scalability, reliability, and performance.
• Drive the development of sophisticated, stateful web applications.
• Serve as developer leader in distributed systems, data technologies, with strong software engineering skills.
• Drive technical innovation and research to stay at the forefront of emerging data technologies and best practices.
• Mentor and elevate a team of high-performing engineers.
• Collaborate closely with cross-functional teams to understand business requirements and translate them into scalable and efficient technical solutions.

Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 8+ years of experience in data engineering, software development, or a related field, with at least 3 years in a technical leadership role.
• Experience with full-stack development building web apps, using modern programming languages such as JavaScript, Typescript or React.
• Proven track record of architecting and delivering complex data projects at scale, with a deep understanding of data infrastructure and distributed systems.
• Strong understanding of data modeling, data warehousing, and ETL processes, with experience designing and optimizing data pipelines.
• Excellent communication and collaboration skills, with the ability to influence technical decisions and drive alignment across teams.
• Strong leadership skills, with a track record of mentoring and developing high-performing engineering teams.
• Demonstrated ability to thrive in a fast-paced, dynamic environment and deliver results under tight timelines.

Desired:

• Experience developing production-quality LLM applications and using modern agent frameworks such as Langchain, Langgraph, Llamaindex, LangSmith, LangFuse, CrewAI, and/or others is a plus.
• Expertise in big data technologies such as Hadoop, Spark, Kafka, and cloud-based data services (AWS/GCP/Azure).

Travel:

This role will be remote and based in Colombia. Travel may be required to participate in project or team in-person meetings.

What We Offer:

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values , something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.

So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!

XML job scraping automation by YubHub

We are seeking an Applied AI, AI Engineer to join our customer-facing technical organization. As a member of our team, you will work directly with enterprise clients from pre-sales through implementation to deploy cutting-edge AI solutions that deliver measurable business impact.

Your primary responsibility will be to identify high-value internal use cases across engineering, legal, HR, sales, and operations, and build or vibe code end-to-end LLM applications. You will own the full lifecycle of these applications, from prototype to production, maintenance, and iteration.

In addition to your technical skills, you will also be responsible for documenting learnings and sharing insights with product and research teams, and converting successful internal tools into customer demos or case studies where appropriate.

How We Work in Applied AI

We care about people and outputs. What matters is what you ship, not the time you spend on it. Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. Always ask why. The best solutions come from deep understanding, not from copying what worked before. We say what we mean. Feedback is direct, timely, and given because we care. No politics. Low ego, high standards. We embrace an unstructured environment and find joy in it.

About You

You are fluent in English and have 3+ years of experience building production software, with meaningful experience deploying LLM applications. You have a bias toward shipping, preferring a working prototype over a perfect specification. You possess strong technical coding skills in Python and front-end skills with React Frameworks. You are comfortable working autonomously across teams with different needs and constraints, and have strong communication skills to bridge non-technical teams and AI capabilities.

Ideally, you have contributions to open-source evaluation frameworks or published research on LLM evaluation, experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager, and experience with ML frameworks (PyTorch, HuggingFace Transformers).

Benefits

PTO: The CDI contract will be a 'Forfait 218 jours', corresponding to 25 days of holidays and on average 8 to 10 days of RTT days, and complete autonomy on working hours.

Health: Full health insurance coverage for you and your family.

Transportation: We offer a €600 annual mobility allowance, covering 50% of your public transportation costs and including the Sustainable Mobility Allowance (FMD), encouraging eco-friendly travel options such as cycling or carpooling.

Food: Swile meal vouchers with 10,83€ per worked day, including 60% offered by the company.

Sport: Gymlib - sponsorship by Mistral of a significant part of the monthly fee (depending on the program you chose).

Parental policy: 4 additional weeks for parents on top of what is offered by the French state.

XML job scraping automation by YubHub

At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are seeking a Applied AI Engineer to facilitate the adoption of our products among customers and collaborate with them to address complex technical challenges. The Applied AI Engineer is an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products and building complex enterprises use-cases.

Responsibilities

• You'll individually help deploy into production use cases with a considerable business impact across various industries.
• You'll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.
• You'll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases our open source codebases for tasks such as inference and fine-tuning.
• You'll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders.
• Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback

About you

• You are fluent in English
• You hold a PhD / master in AI / data science or you’re self-made
• You have 7-10+ years as a technical individual contributor (data scientist or software engineer) on AI-based products
• You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases
• You have deep understanding of concepts and algorithms underlying machine learning and LLMs
• You have a deep understanding of Cloud Infrastructure and how to deploy AI based products
• You have deployed or built products with large scale user based
• You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences

Benefits

• Competitive cash salary and equity
• Health Insurance
• Sport: $90 for gym membership allowance
• Food: $200 monthly allowance for meals (solution might evolve as we grow bigger)
• Transportation: $120/month for public transport or Parking charges reimbursed

XML job scraping automation by YubHub

About the Role:

As an Applied Research Engineer, you will be the bridge between research, industry, and application shaping the future of our core natural language processing systems. You will be responsible for enabling agentic capabilities across the Hebbia product suite. You will own experiments and POCs focused on combining the latest research findings with specific high-value problems that our customers encounter each and every day.

Responsibilities:

• Focused on LLMs, you will play a crucial role in analyzing and interpreting complex data types to derive and implement cutting-edge insight generation systems.
• Iterate and explore new LLM and NLP techniques maintaining our foothold as an industry leader.
• You will utilize your expertise in statistics, programming, and machine learning to develop and deploy data-driven models and algorithms.
• Your work will contribute to solving business problems, improving processes, and enhancing the overall performance of the company.
• Collaborate with cross-functional teams to improve NLP/LLM capabilities in app.
• Stay up-to-date with the latest advancements and research in the space.
• Collaborate with software engineers to integrate agentic capabilities into existing systems or develop new applications.
• Ensure that systems are efficient, maintainable, and well-monitored.
• Iterate on validation and testing frameworks.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field.
• Master's degree in Computer Science, Mathematics, Machine Learning, or a related field is a plus.
• 7+ years software development experience at a venture-backed startup or top technology firm, with a focus on applied machine learning systems.
• Strong programming skills in Python.
• Experience with NLP and text processing libraries such as NLTK, SpaCy, or Apache Tika.
• Experience with Search and Indexing technologies.
• Proficient in machine learning techniques and algorithms.
• Experience working with foundational models and corresponding APIs.
• Knowledge of statistical analysis and data scraping techniques.
• Prior experience in developing NLP models and systems.
• Experience with prompting and building LLM applications and agents is a plus.

Benefits:

• Experience building agentic systems or LLM-enabled products.
• Frequent user of AI products, especially during the development lifecycle (i.e., Cursor, Claude Code, etc).

Compensation:

The salary range for this role is $160,000 to $300,000. This range may be inclusive of several career levels at Hebbia and will be narrowed during the interview process based on the candidate's experience and qualifications. Adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description.

XML job scraping automation by YubHub