Full Stack Engineer

23 hours ago

Oxford, Oxfordshire, United Kingdom Amberes Full time

Senior Full Stack AI Engineer

  • Completely GREENFIELD project
  • Budget: £85,000 - £110,000 basic + bonus + benefits
  • Location: Oxford (WFH split)

Overview

  • PE-backed by a world top-ranking business Our client is scaling fast and building AI products that solve real customer problems. They are looking for a Senior Full Stack AI Engineer to own AI features end-to-end, from prototype to production. You will design, build, and operate reliable AI systems that power their next-generation platform.

The Position

  • You will take ownership of AI-powered product features. You will move fast from concept to customer, working across the stack to design APIs, build front-end interfaces, integrate AI models, and ensure performance, reliability, and observability in production.

Key Responsibilities

  • Build and ship AI-driven features end-to-end, from prototype to production
  • Design, implement, and maintain inference services with strong observability
  • Develop and optimise retrieval and 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 For:

  • 5+ years of experience in software engineering with shipped production systems
  • Strong proficiency across the stack, including React, 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

Why Join

  • You will work with an exceptional team solving real-world problems with AI. You will ship fast, have ownership from day one, and help shape a production-ready AI stack used by thousands of customers.

If of interest, please apply

Thank you,

Team Amberes

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