Full Stack Engineer - AI
banbury, south east england, united kingdom
Hybrid / WFH Options
Hybrid / WFH Options
Amberes
context pipelines, including chunking, embedding, ranking, and grounding Apply safety, auditability, and deterministic fallback mechanisms Run evaluation loops to improve quality, latency, and cost Design scalable backend APIs and data models for intelligent features Collaborate with product, design, and customers to translate workflows into real outcomes Mentor engineers on AI best practices and production readiness What We Are Looking … TypeScript, Python, Node, or Go Proven experience building and deploying AI or ML features in production Hands-on with embeddings, vector databases, and LLM-based systems Strong understanding of data pipelines, inference optimisation, and prompt engineering Experience with monitoring, tracing, and scaling backend systems Experience with fine-tuning or instruction tuning Experience with GPU workloads, batching, and latency optimisation More ❯
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