Senior Applied AI Engineer: Build & Scale LLM Pipelines

UnderwriteMe Limited

Greater London

On-site

GBP 110,000 - 140,000

Full time

2 days ago
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Benefits offered by this job

25 days annual leave
Private health insurance
Hybrid working

Job summary

UnderwriteMe Limited in London is seeking a Senior Applied AI Engineer to design, build, and deploy advanced LLM-based and agentic systems that extract and reason over medical records and application data. You will own the evals and guardrails, collaborate with Product, Design, and Underwriting SMEs, and scale systems from prototype to production with a focus on latency, cost, and reliability.

This fast-paced role offers impact on our product and business, working at the forefront of AI-enabled

Qualifications

  • 6+ years in ML/AI with NLP/LLMs and agentic systems.
  • Hands-on experience with OpenAI/Anthropic APIs.
  • Experience with LLM observability tooling is a plus.
  • Strong Python and FastAPI for service development.
  • Familiarity with Docker, Kubernetes and AWS.

Responsibilities

  • Build, test, and deploy production LLM and agentic systems.
  • Own evals and guardrails to ensure quality and safety.
  • Design multi-step, tool-using workflows with state and human-in-the-loop review.
  • Lead innovative approaches in language understanding, extraction, and reasoning.
  • Collaborate with Product, Design, and Underwriting SMEs to align ML goals with product constraints.
  • Scale systems from prototype to production, optimizing latency and cost.

Skills

NLP & LLMs
ML/AI leadership
Evaluation design
Prompt engineering
Python backend
Docker & Kubernetes
AWS cloud
Tooling: LiteLLM

Tools

LiteLLM
vLLM
Langfuse
Claude Code/Codex

Job description

UnderwriteMe Limited in London is seeking a Senior Applied AI Engineer to design, build, and deploy advanced LLM-based and agentic systems that extract and reason over medical records and application data. You will own the evals and guardrails, collaborate with Product, Design, and Underwriting SMEs, and scale systems from prototype to production with a focus on latency, cost, and reliability.

This fast-paced role offers impact on our product and business, working at the forefront of AI-enabled

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