Founding Full-Stack Engineer (AI / LLM)

We're building the Career Health System: an AI-native app where a few AI companions work together on one person's career and they share memory and context so none of them starts from zero. It's live on the App Store and Google Play with a 5.0 rating and early organic revenue, and we're raising now. I started CPDASH AI because I was one of the people the system forgot. That's still who we build for. We're looking for a founding engineer to take technical responsibility for the product end-to-end alongside me. You'd join a small contract engineering team (backend, mobile, QA) with a clear path to leading engineering as we grow. What you'd work on The agent layer: LLM tool-use loops behind each companion, shared memory on pgvector, prompt caching, cross-provider fallback. Making it faster and cheaper, then extending what the companions can do. Real-time voice. Streaming speech-to-text and text-to-speech over WebSockets, where latency is the whole game. The mobile app (React Native / Expo, TypeScript) and the GraphQL API behind it (Python, Django, Strawberry, PostgreSQL, Celery). Job matching across six job boards, CV parsing and ATS scoring, interview practice, an upskilling engine, a Skills Passport and a career health timeline. Some of it needs finishing. Some of it needs rethinking. AWS infrastructure (ECS Fargate, RDS, S3, ElastiCache) managed with OpenTofu and GitHub Actions. Small team, so you deploy what you build. Who we're looking for 5+ years of hands-on full-stack work: backend, APIs, and a mobile or web frontend you've shipped to real users. LLM features you've run in production. Prompt design, RAG, tool-calling, agentic workflows, and you know where they break: cost, latency, hallucination, evals. Strong Python. TypeScript and React Native are a big plus, and you're happy working across both. You can take a rough spec, make the design calls, ship, and fix it when it breaks in prod. No degree requirement. We care about real experience, what you've built, not what's on paper. Compensation, honestly We're bootstrapped and raising. Until the round closes this is an equity role: a meaningful stake with standard vesting, and no salary. When we close, you move to a market-rate salary on top of the equity. We'll share the exact equity range on the first call. If you need a salary today, this isn't the right moment, and that's fair. What you get You will have significant responsibility for the codebase and system architecture, with autonomy to make technical decisions and help shape the technical roadmap. Equity that's revisited as we raise, not a token grant. A product already in users' hands, so what you ship reaches real people straight away. Hybrid working from London, with flexible days. How we'll hire A 20-minute intro call. Then an hour on something you've built, in depth. Then a pairing session on our actual codebase, so we both see what working together feels like. Then an offer with the equity terms in writing. How to apply Email: contact@cpdash.ai With your CV or portfolio (GitHub, App Store links, anything that shows real work) and a few lines on the most complex AI or LLM system you've shipped: what it did, what broke, and what you'd do differently. That last part is what we actually read.