This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
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
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