Deployed AI Engineer
This role is the technical spearhead of our new-world work. Your responsibilities look like those of a startup CTO: you'll work in a small pod — typically with a Delivery Lead — and own end-to-end technical execution of client engagements: scoping, system design, build and rollout. Forward-deployed means exactly that: inside the client's environment, on their real data, within their security model. A working prototype exists within the first days of an engagement; feedback lands every couple of days; a proven POC becomes an MVP within weeks. Between engagements, you extend our internal AI platform and codify what you proved in the field into the accelerators, templates and playbooks that make every engagement faster than the last.
What you'll do
- Build working AI proofs on real client data during Assess engagements — the prototype is the discovery tool, built while the value case is made
- Deliver client POCs and MVPs: RAG pipelines, agent architectures, LLM integrations and protocol-driven tooling (MCP, tool orchestration)
- Iterate in short loops: demoing every few days, taking feedback, changing course without ceremony
- Engineer for production from day one: guardrails, security and integration into the client's estate, scalability and telemetry — designed inside the build, not bolted on
- Prove trustworthiness with evals: golden datasets, automated evaluation pipelines, accuracy and drift monitoring — and hill-climbing on the results
- Wrangle client data: pipelines, messy edge cases, and integrations that are harder than they look
- Own and evolve our internal AI platform, codifying repeatable field patterns into reusable Enablis assets
- Lead advanced technical sessions in our upskilling programme, and upskill client engineers during Transform engagements
- Evaluate emerging AI tools, frameworks and protocols, and make pragmatic adoption calls
What we're looking for
- Strong software engineering foundations — clean code, testing, CI/CD, production mindset — with strong general-purpose programming (e.g. Python, TypeScript) and proficiency in 2+ modern languages
- Full-stack capability: enough front-end, back-end and data engineering to build the whole thing yourself
- Hands-on production LLM and agent experience: prompt engineering, agent workflows, RAG, tool orchestration and MCP — with evidence you've shipped AI users actually rely on, and how you proved it could be trusted
- Evaluation-driven habits: golden datasets, eval frameworks, guardrails — you measure whether it works rather than asserting it does
- Client-facing delivery experience, and comfort with the constraints of enterprise environments: security, compliance, legacy integration
- High agency and comfort with ambiguity — you can operate with minimal supervision in a client's world
- A value instinct: you can explain what a build is worth in business terms, and say when something isn't worth building
Nice to have
- Vector databases, embeddings, fine-tuning
- Cloud experience (AWS/Google preferred)
- Former founder or startup experience
- Open-source contributions or visible AI side projects
Tech & skills
What you'll get
- 30 days holiday + bank holidays
- Competitive salary
- Pension matched up to 5%
- Private healthcare (Bupa)
- £2k learning budget
- AI tooling: Claude, Copilot and more
- Flexible hybrid working
Interested in
this role?
Drop us your details and we'll be in touch.
Other open positions
AI Engineer
Build production-ready AI solutions, including RAG pipelines, agent architectures and LLM integrations, for clients and internal tooling. Not proof-of-concept work.
AI Practice Lead / Tech Director
Shape and grow our AI practice. Lead client engagements from discovery to delivery, build the team, and represent Enablis externally. Strategy meets hands-on delivery.
Programme Manager
Run complex technology programmes across multiple workstreams. Stakeholder management, risk, and delivery leadership for clients who need things done properly.
Convince us
we need you.
If none of our listed roles are quite right but you think you'd thrive here, tell us. No cover letter template. Just what you're great at and what you want to build.