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AI Engineer

United Kingdom, London · Job Posted January 26, 2026
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Job Description

Our next frontier is a strategic shift: We're evolving beyond traditional analytics to build AI agents that actively participate in our operations. Rather than using data to inform decisions, we're creating intelligent systems that autonomously deliver better outcomes for customers and clients alike. You will build the systems that transform our data from a passive record into an active participant, learning from history to autonomously optimise the business. You'll be our first dedicated AI engineer, working directly with the Head of Data. You'll collaborate weekly on architecture, especially in the first 6 months, to define the technical roadmap. You'll own the build, but you're not figuring this out alone. We have a small data science team shipping traditional ML such as lead scoring. Your remit is production of GenAI systems. However, we intentionally overlap deployment patterns, monitoring standards, and evaluation approaches so we build one coherent AI capability.

Job Responsibility

  • Architect & Engineer Agentic Systems: Build agents that act, not just answer
  • design agents that perform deterministic actions based on probabilistic reasoning
  • build systems that can reliably analyse data, execute function calls, and manage state across multi-step workflows without getting stuck in loops
  • Production-Grade RAG: go beyond basic vector search
  • implement hybrid search (keyword + semantic), re-ranking strategies, and metadata filtering
  • Structured Data Extraction: build pipelines that turn unstructured conversations into structured data that our downstream systems can use
  • Establish AI Engineering Foundations: Observability First: implement the "nervous system" of our AI
  • choose and set up tools (e.g., LangSmith, LangFuse, ADK, or custom) to trace execution chains
  • Evals as a Service: build the testing harness
  • create automated evaluation pipelines that test prompts against "Golden Datasets"
  • Cost & Latency Engineering: monitor token usage and inference latency, optimising the trade-off between model intelligence and speed/cost for different parts of the chain
  • Collaborate and Standardise: Partner on Architecture: work with the Head of Data to define the technical roadmap
  • help decide what we build based on technical feasibility and business value
  • Unify with Data Science: define shared standards with our Data Science team on deployment patterns, monitoring, and security

Requirements

  • Python and service development: write clean, typed, production-ready code
  • comfortable with Pydantic, Asyncio, and FastAPI
  • treat prompts as code: versioned, tested, and decoupled from business logic
  • Cloud-native experience: hands-on experience deploying and operating containerised services on AWS (or GCP/Azure) using CI/CD platforms (Jenkins, GitHub Actions, CircleCI, BuildKite), cloud monitoring tools (Datadog, Sumologic, NewRelic), and container orchestrators (EKS, ECS)
  • comfortable with Terraform for infrastructure as code
  • Hands-on LLM experience: built something real with language models, whether production systems, serious side projects, or internal tools
  • understand that prompting is engineering, not magic

Nice to have

  • Production GenAI at scale: Experience with structured outputs, managing context window constraints, and handling model latency/timeouts in user-facing applications
  • know how to evaluate a change in prompt logic before deploying it
  • Observability and evaluation pipelines: implemented tracing for LLM workflows or built automated evaluation against golden datasets

What we offer

  • Summer Fridays
  • Competitive holiday benefits - 25 days a year paid holiday, plus 8 bank holidays (increases 1 day a year up to 30 days)
  • Hybrid working - 3 days a week in the office
  • Closed for Christmas holidays - Extra days not taken from your annual holiday allowance
  • Work from anywhere for 2 weeks a year
  • Life Assurance and Income Protection to protect your loved ones
  • Benefits allowance for health, dental, and vision coverage
  • Six months paid maternity leave, and one month paid paternity leave (subject to qualifying conditions) inclusive of same-sex and adoptive parents
  • Defined Contribution Pension and Salary Sacrifice Scheme
  • Be Well: Our award-winning wellbeing and mental health programme to support all MVFers and their families
  • Family Forward support for our MVF parents and their mini-mes
  • 2 charity days a year
  • Free breakfast when in the office

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