W Talent

Founding Engineer - Full Stack - Finance AI As their first hire, you'll take the lead in building our financial AI agent at the frontier of LLM apps. They expect you to proactively design and apply novel solutions across the entire stack. The primary responsibility is making sure a model always has the right context and answers accurately against eval datasets. You'll own the agent's tech roadmap, shape our engineering culture, and grow into a leading expert. What you'll do Build Their agentic LLM system and ensure it is consistently accurate Develop how we parse, index, retrieve and cite data from complex financial documents Create inernal evaluation system to measure quality of answers Come up, quickly prototype, then deploy novel techniques for all of the above What we're looking for Strong software engineer with fluency in Python and TypeScript Familiarity with building LLM apps, including RAG and prompting A daily LLM user in both coding and life Ability to pick the right problem and solve it Desire and curiocity to study basic financial stuff Why join us Salary range 80,000 to 120,000 with (phone number removed)% equity ownership A lot of autonomy on tech decisions and architecture Work with us in person 3-5 days a week from a London office (helping to relocate) Best health insurance (soon)

About the Role We're looking for a founding full-stack engineer to join an early-stage, high-impact startup at the intersection of AI and law. You'll be one of the first hires, owning features end-to-end-from talking to users and scoping problems to building and iterating solutions. If you're excited to shape a product that's trusted by top-tier professionals in a high-stakes environment, and want to help define both engineering culture and technical foundations, this is for you. What You'll Do Work across the stack: Python backend, Next.js + TypeScript frontend, PostgreSQL Architect scalable document processing pipelines for large datasets Build AI-native user experiences and intelligent agent workflows using state-of-the-art LLMs Improve system performance, stability, and observability Deploy to Azure using infrastructure-as-code (Bicep) and CI/CD via GitHub Actions Collaborate directly with users to deeply understand workflows and pain points Influence engineering best practices, product direction, and team growth What We're Looking For 3+ years of experience in full-stack or backend development Proficiency with Python, TypeScript, and modern frameworks like Next.js Strong product sense and ability to work autonomously High attention to detail and bias for action Excellent communication skills Bonus: Experience or interest in legal tech or document-heavy domains Why Join Be part of a ground-floor team shaping a next-gen AI product Work with real users at leading firms in a rapidly evolving industry Backed by YC and top-tier investors Own a meaningful equity stake Move fast, ship often, and work on genuinely hard and impactful problems Compensation & Benefits 70-100K salary 0.50%-1.00% equity Hybrid working (London-based) Fast response time: Expect to hear back within 24h