Founding Product/AI Engineer

Founding Product/AI Engineer (HealthTech) Join to apply for the Founding Product/AI Engineer (HealthTech) role at Foundation Partners This range is provided by Foundation Partners. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Founding Product/AI Engineer - Asterix Health (London) Package: £80k-120k cash with generous equity/+ Private health/dental. Onsite at our London Bridge/ Borough Market office Asterix Exists for One Reason To fix the biggest problem in healthcare: there are not enough doctors, and the system can no longer keep up. Millions of patients wait weeks for appointments. Millions more are stuck on hospital waitlists. Health conditions that can be prevented are missed and go unnoticed. Asterix is building the only scalable solution: a new model of care where highly‑qualified doctors are augmented by AI: safely, consistently, and measurably. The DoctorOS, our emerging clinical platform, is becoming the backbone of modern healthcare delivery. We combine rigorous clinical leadership, technology adapted for real‑world care, and AI tooling that makes doctors 10x more productive. We are backed by Entrepreneur First, recently closed an oversubscribed funding round, and live with some of the largest healthcare providers in the UK, generating revenue and expanding fast. Your Mission will be to build safe, production‑ready clinical AI As our Founding Product/AI Engineer, you will be the architect and owner of our AI systems. You will design, build, and ship product‑critical clinical intelligence used every single day by doctors delivering patient care. By joining us now, you will define our tech stack and decide what we need to scale. Current Tech Stack Frontend: React 19 with TypeScript Backend: AWS serverless — Lambda, API Gateway, DynamoDB, and S3 Authentication + Database: Supabase Tooling: Playwright for testing, Tailwind for styling, Radix UI for components You Will Own The entire Product/AI lifecycle: inference pipelines, retrieval, fine‑tuning, evals, safety mitigations, and monitoring. Clinical‑grade safety infrastructure: hallucination detection, error monitoring, model governance, incident tooling and system‑level guardrails. MLOps & infra: reproducible training pipelines, CI/CD for models, audit trails, versioning, and data lineage. Human‑in‑the‑loop clinical validation: working directly with doctors and our clinical leads to define acceptance criteria and run prospective evaluations. End‑to‑end shipping: design → prototype → deploy → measure → iterate. Future team growth: help hire the next engineers and shape the technical culture from the ground up. Who You Are We don’t care about pedigree. We care about what you’ve built and how you think. You Thrive When The stakes are high and the feedback loops are tight. The constraints are real (safe, compliant clinical environments). You own outcomes end‑to‑end. You’re responsible for systems that must work and must be trustworthy. You’ll Be a Great Fit If You Have Been a founder or founding engineer Deep experience with LLMs, model evaluation, monitoring, or MLOps. A track record of shipping ML or production systems in high‑stakes environments. High agency and product intuition: you chase impact, not tickets. Strong judgment around risk, safety, and quality in real‑world deployments. Experience working across the stack (infra ↔ data ↔ product). Bonus If You Have worked in regulated environments Built software/AI as a medical device Have clinical knowledge, or have shipped tools used by clinicians Have founded or been early at a startup Culture - The Asterix Way We are a small, deeply ambitious, and intensely collaborative team. We move fast because what we’re building matters. Humble – We assume we’re wrong until the data or a clinician proves otherwise. We default to curiosity. We ask questions. We help each other level up. High‑intensity – Founder mentality – No corporate wannabe’s – You don’t wait for permission. You push problems to resolution. You act like an owner of the mission, the codebase, the infrastructure, and the culture. Solving one of society’s biggest problems won’t happen in a 9‑to‑5. We need our team to understand we will always ask for that little bit extra. We work hard, but with intention. Joyful energy – We take the work seriously but not ourselves. We laugh a lot. We celebrate the small wins. We show up with energy, optimism, and kindness, and back each other completely. If you bring enthusiasm and momentum, you’ll fit right in. In‑person by design – We work together, shoulder‑to‑shoulder in London. This makes us faster, tighter, and better and it makes the journey more fun. What Success Looks Like Months 1–3: Learn, Ship, Integrate Stand up our LLM inference & eval pipeline. Ship your first end‑to‑end feature into clinical workflows. Implement core monitoring/metrics for model behaviour and safety. Become embedded with doctors to understand real‑world clinical needs. Own a meaningful slice of the roadmap. Indicators Of Success You’ve shipped code used by clinicians. You’re independently diagnosing, designing, and delivering improvements. You’ve raised the technical bar. Months 3–6: Lead, Architect, Optimise Own full verticals of the AI stack (eg. safety, evals, RAG). Make architectural decisions that shape DoctorOS. Run experiments that measurably improve clinical throughput or decision quality. Build internal tooling for reliability, safety, and reproducibility.Help interview your future teammates. Indicators Of Success You’ve made major AI systems more reliable, faster, or safer. You’re the go‑to person for at least one domain (infra, safety, evals, retrieval, etc). You’re influencing product direction directly with founders + clinicians. Months 6–12: Own Strategy, Build the Org Own multi‑quarter AI roadmap areas with minimal supervision. Lead key initiatives in clinical AI safety and reliability. Architect next‑gen capabilities in DoctorOS (structured reasoning, tool use, advanced monitoring, clinician‑feedback loops). Mentor new hires and help shape engineering culture. Represent Asterix in technical conversations with customers and partners. Indicators Of Success You’ve designed systems that become core infrastructure for the company. You’re trusted with company‑defining decisions. You’re shipping features that materially reduce clinician workload and improve care outcomes. Result Promotion to Senior / Lead Engineer + meaningful equity top‑up. Why Join Now Because you want to do the most meaningful, high‑leverage work of your career and do it early enough that your fingerprints are on everything. This Role Lets You Redefine how high‑quality healthcare is delivered to patients Build clinical AI that must be safe, measurable, and trusted Learn faster than anywhere else Have outsized impact and ownership Earn meaningful equity while shaping the team from day 0 How To Apply Apply directly here and send a short note about the hardest technical system you’ve ever built (and what you learned), links to code/work, and your CV. If you have any questions you can reach our talent lead – alaister@asterix.health with the email subject: "I’m your Founding Product/AI Engineer". Please note – Foundation Partners are working with Asterix Health as their partner on all matters People & Talent and we do not require additional support. #J-18808-Ljbffr