Member of Technical Staff - AI Engineer

Tessl
London OfficePosted 26 March 2026

Job Description

Member of Technical Staff - AI Engineer Tessl is a fast-growing Series A startup based in London, founded by Guy Podjarny. We’ve raised over $100M from world-class investors including Index Ventures, Accel, GV, and Boldstart, and in 2025 we were ranked #2 in Sifted EU’s B2B SaaS Rising 100 and #20 in Sifted's AI 100. At Tessl, we believe AI is transforming software development. AI Native Developers will define features, architecture, and workflows in specs, not code, guiding the work of AI agents. We’re building the pioneering platform for this new paradigm and leading the developer movement and ecosystem around it. Joining Tessl means becoming an early team member with the opportunity to shape the future of how software is created and maintained. OVERVIEW OF ROLE Join our AI Engineering team to explore the boundaries of LLMs and AI, shaping Tessl's direction and transforming the developer experience. You’ll be expected to be a versatile and entreprenurial Software Engineer who loves code and can make things work, using your skills both to build software in the team and to opine as a subject matter expert on how our AI generates code. You’ll collaborate closely with our wider engineering team as well as product and design. We have the resources to afford large experiments and push the state of the art, and our team has a wealth of experience in delivering tools for developers that work at scale. WHAT WE’RE LOOKING FOR We’re looking for someone who is as excited as we are to be part of a dynamic team that is shaping the future of AI and software development. Essential - Experience with software engineering, through internships, academic projects, or early full-time roles. You care about code efficiency and quality, and are eager to learn how software is built across teams and environments. - Comfortable learning to contribute to existing codebases or quickly prototyping solutions, even if you’re newer to industry best practices. - Enthusiastic about working alongside researchers and engineers, with an openness to bridging between different focus areas. - Exposure to or coursework in data and statistics, with an eagerness to learn to spot and avoid bad data - Deeply curious about AI and excited about its potential to transform software engineering. Nice to have - Education or experience in ML/AI, ideally using unstructured data. - Experience in rapid prototyping environments; Office of CTO, DevRel, etc. - Programming polyglot experienced in several languages of different paradigms (e.g.: Java, JavaScript/TypeScript, Python, C or C++, Haskell or other functional). - Have a cool project to show us (GitHub links welcome!) and a well articulated answer to the question “Why Tessl?” WHAT YOU’LL DO - Use a bit of jq and grep to quickly navigate a dataset, but recognise when it’s time to use a more robust approach and move the team to something like dbt or duckdb. - Tune a prompt in our generation workflow, eval the results and write an experiment report on your findings. Leave the eval tooling better than when you found it. - Rapidly prototype a new language integration for our code generation pipeline, then develop a plan for a scalable implementation. - Factor out a piece of our pipeline to use FaaS, unlocking 1,000x larger evals to run in nearly constant time. - Add support for a new model in our elegant model abstraction library, or rewrite it when new model capabilities prove our existing design wrong. - Work with our platform team on the next generation of eval facilities, based on your understanding of what researchers need and where the platform is heading. SALARY AND BENEFITS Office: Our brand new 10,000 sq. ft office is in the AI hub of Kings Cross, London. We have generous catering and have regular social events such as team lunches, drinks and more. We require all staff to be in our London HQ at least 3 days a week on our anchor days of Monday, Tuesday and Thursday. Salary: We offer a competitive ... (truncated, view full listing at source)
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