Lead Agentic AI Engineer - Production Systems (Contract)

Deerfoot IT Resources Limited

East Hagbourne

Hybrid

GBP 129,000 - 166,000

Full time

5 days ago
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Job summary

Deerfoot IT Resources Limited seeks a Senior Applied AI Engineer to own and deliver multi-agent AI systems on a contract basis outside IR35. The role is based in Oxfordshire with a hybrid pattern (2 days on site per week) and a day rate of £700-£900.

The project focuses on deploying robust AI capabilities in biotech/pharma contexts and requires leading-edge architectural ownership. You will architect end-to-end agentic AI systems, embed LLMs and multi-modal models, optimize performance, and

Qualifications

  • Strong background in building production-grade AI systems.
  • Experience shipping multi-agent or agentic AI in live environments.
  • Proficient in Python and cloud-based deployment (AWS preferred).
  • Hands-on with LLMs, retrieval, memory and guardrails.

Responsibilities

  • Architect end-to-end multi-agent AI systems for live use.
  • Write reliable production-grade code with performance and fault-tolerance.
  • Embed LLM/vision-language models into live reasoning pipelines.
  • Deploy across cloud and on-prem environments with security in mind.
  • Own production pipelines from raw data to live inference.
  • Build monitoring and guardrail tooling to measure real-world performance.
  • Set engineering standards and create clear documentation.

Skills

Python
LLM deployment
Multi-agent systems
Production-grade software
System design
Data pipelines
Secure deployment
Inference performance

Tools

Docker
Git
AWS
Kubernetes
OpenShift
LangGraph
LangChain
Haystack

Job description

Deerfoot IT Resources Limited seeks a Senior Applied AI Engineer to own and deliver multi-agent AI systems on a contract basis outside IR35. The role is based in Oxfordshire with a hybrid pattern (2 days on site per week) and a day rate of £700-£900.

The project focuses on deploying robust AI capabilities in biotech/pharma contexts and requires leading-edge architectural ownership. You will architect end-to-end agentic AI systems, embed LLMs and multi-modal models, optimize performance, and

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