Software Engineer (AI Specialist)

Improving the productivity of everyday workers is absolutely necessary to solve the biggest problems of our time, such as climate change, affordable healthcare and social equality. Unfortunately, the productivity crisis is not a single problem that can be tackled with a silver-bullet solution; it’s the accumulation of millions of highly specific, context-driven challenges across every facet of every organisation. Affordable, tailor-made, productive software is Cogna’s mission. We’re creating an AI-powered platform that understands the pain points in every customer's business, defines the requirements, and develops the software fully automatically. The result is high-quality, precision software at scale.

We’re backed by top VCs, including Notion Capital and Hoxton Ventures, and we’re growing our world-class team and are looking for people that want to be on the cutting edge of software engineering. Our team comes from diverse backgrounds and experiences, from the world's best universities like Cambridge and Imperial College London and the biggest tech companies like Microsoft, Google and Palantir.

We are looking for a creative Software Engineer with a passion for developing scalable, reliable, efficient, and beautiful AI-first software and have a strong sense of ingenuity. You will be part of an all-star early team, building the future of software. We’ve been building products with AI at its core for enterprise customers since the early days of GPT-3. We understand that building reliable products using AI is much more than writing a good prompt. You’ll be helping to develop these, as well as using them to build the “brain” of our platform: building agents and end-to-end pipelines to understand the customer’s pain points, define requirements, and generate & verify software to address these in a reliable way. We’re truly building at the edge of what’s possible and we need creative minds who can move fast to push the boundaries.

• Define, build, and maintain reliable AI-first product features, including internal frameworks and tooling for working with LLMs.
• Experiment with various AI/LLM techniques, models, and approaches to increase the accuracy and reliability of our outputs.
• Design and build reusable application architectures and toolchains, working closely with the software synthesis team.
• Write and ship high-quality, efficient, and reliable code that is extendible, scalable, and observable. You know how to move fast without breaking things and you know how to keep the right balance between experimentation and shipping.
• Take ideas from experimentation to shipping. Build and help foster an engineering culture that encourages innovation and high-quality code standards, while shipping fast.
• Collaborate closely in a small highly motivated team to build world-class software.

At least 3 years of relevant work experience.

• You’re highly proficient in modern typed Python, Docker, and PostgreSQL. Experience in a compiled typed language like Go or Rust, or in modern frontend development is a plus.
• You’re proficient in modern Python ecosystems and toolchains and have worked with them in complex large codebases. You’re a creative experimentalist at heart and have industry experience in an environment where this was necessary.
• You have a fundamental understanding of code analysis, compilers, domain-specific languages, or related topics, and are keen to learn in this area.
• You can work closely with a product manager to turn customer requirements into reliable systems quickly, and iterate from there, while balancing long-term engineering maintenance effort. Familiarity with e2e testing frameworks, large language models, CI/CD tooling, workflow orchestration systems such as Argo or Temporal, and/or experience with Kubernetes is a plus.

Competitive salary and share option plan, ~25 days annual leave, plus public holidays, excellent pension scheme, matched to 7. Private healthcare, including family cover and pre-existing conditions, flexible hybrid working with 2 days per fortnight in our Farringdon office, but different schedules can be negotiated. Regular social events and offsites, access to a gym and fitness classes in our office building.