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Full Stack Engineer

Immersum

LLM EngineermidLondon Area, United KingdomhybridfulltimeArtificial Intelligence and Software DevelopmentReactTypeScriptNode.jsPythonFastAPILLMsRAGKubernetesposted
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Fullstack Engineer - AI Hybrid - London Up to £80,000 Immersum are working with a medical-grade AI HealthTech company transforming clinical workflows across the UK. Their platform helps clinicians eliminate documentation burden through clinically safe and reliable AI systems already used in over 1 million consultations. They’re hiring AI focused Full Stack Product Engineers to help build production grade AI systems used in high-stakes healthcare environments. What you’ll do: - Build and ship full-stack product features integrating deeply with LLMs in production - Design systems resilient to hallucinations, output instability, and distribution shift - Work closely with AI research teams to implement new architectures and model enhancements - Contribute to AI output validation approaches, including multilingual clinical documentation quality - Help maintain engineering quality, reliability, and safety standards in a regulated environment - Work closely with product and design teams to deliver clinician-facing tools at scale Tech stack: React · TypeScript · Node.js/NestJS · Python/FastAPI · GCP · Kubernetes · Terraform · PostgreSQL · Redis · Pub/Sub · LLMs · AI Systems Looking for: - Strong full-stack engineering background with React + TypeScript - Production experience building systems around LLMs - beyond simple API integration - Deep understanding of failure modes in probabilistic systems - Experience with output validation, fallback strategies, confidence thresholds, and human-in-the-loop workflows - Familiarity with prompt engineering, RAG, fine tuning, or LLM evaluation frameworks - Product minded engineers who enjoy ownership and shipping - Commercial thinking - System design skills Nice to have: - Experience in clinical AI or other high-stakes AI domains - Exposure to AI safety concepts in production - Experience with internal AI evaluation or red-teaming exercises - Familiarity with FHIR/HL7 integrations or event-driven architectures Please note you must have full right to work for this position.