Lead Deployed AI Engineer

Salary: £66,000 - 106,000 per year

Requirements:

• Strong software engineering foundations, including clean code, testing, CI/CD, and a production mindset
• Strong general-purpose programming skills, such as Python or TypeScript, and proficiency in 2 or more modern languages
• Full-stack capability across front-end, back-end, and data engineering
• Hands-on production LLM and agent experience, including prompt engineering, agent workflows, RAG, tool orchestration, and MCP
• Evidence of shipping AI products that people rely on, and of proving they can be trusted
• Evaluation-driven habits, including golden datasets, eval frameworks, and guardrails
• Client-facing delivery experience and comfort working within enterprise constraints such as security, compliance, and legacy integration
• High agency and comfort with ambiguity, with the ability to operate with minimal supervision in a client environment
• Ability to explain the business value of a build and decide when something is not worth building
• Vector databases, embeddings, and fine-tuning experience
• Cloud experience, preferably AWS or Google Cloud
• Former founder or startup experience
• Open-source contributions or visible AI side projects

Responsibilities:

• Build working AI proofs on real client data during Assess engagements while the prototype supports discovery and value-case development
• Deliver client POCs and MVPs, including RAG pipelines, agent architectures, LLM integrations, and protocol-driven tooling
• Iterate in short cycles, demoing frequently, incorporating feedback, and changing course as needed
• Engineer for production from day one, including guardrails, security, scalability, telemetry, and integration into the client environment
• Build evaluation pipelines and monitoring for accuracy and drift using golden datasets and automated evals
• Work through client data challenges, including pipelines, messy edge cases, and complex integrations
• Own and evolve our internal AI platform and codify repeatable field patterns into reusable 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 decisions

Technologies:

• AI
• AWS
• CI/CD
• Cloud
• Fine-tuning
• LLM
• MCP
• Python
• RAG
• Security
• TypeScript
• CTO

More:

We are Enablis, delivering complex, high-impact technology transformation and building a genuinely AI-native consultancy. We embed AI into how we deliver, operate, and grow, and we work as practitioners who use our own AI-first approach as the case study. This role is based in London on a hybrid working basis and offers a salary of £90,000 to £115,000. You will work in a small pod, typically with a Delivery Lead, on client engagements with real data inside the clients security model, while also helping extend our internal AI platform and reusable accelerators. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of race, sex, disability, religion or belief, sexual orientation, or age.

last updated 39 week of 2026