UnlikelyAI - Staff Software Engineer

• You don't need to tick every box below, but any of the following would strengthen your application: • Monorepo experience – comfortable working in and improving a large, shared codebase with multiple product teams contributing. • CI/CD pipelines – hands-on experience with GitHub Actions or similar, ideally including designing and optimising CI infrastructure. • CI/CD pipelines • Experience with document processing pipelines – PDF parsing, OCR, structured data extraction. • document processing pipelines • Familiarity with knowledge representation – decision trees, knowledge graphs, ontologies, or symbolic reasoning systems. • knowledge representation • Experience with LLM integration in production systems – prompt engineering, evaluation, working with APIs such as Gemini, Claude, or OpenAI. • LLM integration • Frontend experience with React and TypeScript – we value engineers who can contribute across the stack when needed. • React and TypeScript • Experience in regulated industries – fintech, audit, compliance, insurance, or banking. • regulated industries • Familiarity with the modern Python tooling ecosystem: uv for package management, ruff for linting, pyright or similar type checkers. • Python tooling ecosystem • Experience with observability and monitoring tools such as Datadog. • observability and monitoring • Experience mentoring engineers and helping teams grow their technical capabilities. • mentoring engineers • How We Work • We're a team of around 30 people based primarily in the UK. We operate a hybrid working policy, with three days a week in our Central London office. Engineering is organised into product-focused squads, supported by shared infrastructure and an R&D function. We work in a monorepo, deploy to AWS, and care deeply about developer experience – we're actively investing in modernising our tooling, CI, and repository structure. • We run hackathons, we have strong opinions about code quality (held loosely), and we ship often. Our culture is collaborative and low-ego: engineers regularly move between teams, pair on hard problems, and contribute ideas regardless of seniority. We take the work seriously, but not ourselves.