Software Engineer (AI Specialist)

At Cogna, we are working hard to solve the productivity crisis. 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. Each of these problems requires a tailored solution, and we must provide those quickly and at scale.

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.

Since our launch in May 2023, we’ve already seen significant traction and customer revenue that outpaces most companies. 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.

This is more than a job; it’s an opportunity to be part of something genuinely transformative. Are you up for the challenge?

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-3.5 to the latest and greatest models, and have built internal tooling to efficiently and effectively work with LLMs. We understand that building reliable products using AI is much more than writing a good prompt. We put a lot of thought and effort into making outputs of LLMs reliable and verifiable in our product, whether that’s code or more unstructured outputs.

We have frameworks for evaluation, verification, specialized code and test generation pipelines, agentic behaviour, RAG, observability and orchestration tooling, and many more—all widely used across our product, neatly integrated, and informed by real customer and product needs. Each of these are constantly evolving to adapt to the state of the art, and being built by a world-class team who are always experimenting. 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.
• Build and improve evaluation systems and benchmarks.
• 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.
• 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.
• The drive to work at an early-stage startup. You thrive in a fast-paced, quickly changing, and independent environment.
• 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 either have professional experience using LLMs or have enthusiastically experimented in your own time.
• You have a fundamental understanding of code analysis, compilers, domain-specific languages, or related topics, and are keen to learn in this area.
• You are passionate about clean and reusable interfaces, but can iterate fast on them.
• 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.
• You’re great at communicating technical systems succinctly to a product-focused audience.
• 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.

We accept candidates with career breaks and CV gaps. Life happens, we get it. Please apply anyway!

• Competitive salary and share option plan.
• 25 days annual leave, plus public holidays.
• Excellent pension scheme, matched to 7.5%.
• 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.