Applied AI Engineer: Multi-Agent Systems (Hybrid London)

UK AI Tools; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Private healthcare

29 days holiday + public holidays

Job summary

Oxford Dynamics in London is seeking an Applied Artificial Intelligence Engineer to join its hybrid, full-time team. The role covers multi-agent AI systems, integration of LLMs and vision-language models, and production pipelines across cloud, on‑premises, and air‑gapped environments.

You will work with engineers, product leads, and customers on evaluation, integration, and secure delivery, with strong Python and hands-on experience with LangGraph/LangChain/Haystack and containerised deployments

Qualifications

• Bachelor's degree or higher in Computer Science, Artificial Intelligence, Data Science or related field.
• Commercial production experience with agentic AI.
• Strong Python programming skills.
• Hands-on experience with LLM frameworks LangGraph, LangChain, or Haystack.
• Production AI/ML deployment experience using Docker, Git and cloud platforms.

Responsibilities

• Collaborate with engineers, product leads and customers on evaluation, integration and secure delivery of AI solutions.
• Develop and deploy multi-agent AI software and production pipelines across cloud, on-premises and air-gapped environments.
• Monitor model behavior, ensure observability and secure deployment in regulated settings.

Skills

Python

Agentic AI

LLM frameworks LangGraph

LangChain

Haystack

Docker

Git

Cloud platforms

Kubernetes

Observability

Model orchestration

Education

Bachelor's degree in Computer Science / AI / Data Science

Tools

Docker

Git

Kubernetes

LangGraph

LangChain

Haystack

MLOps

Job description

Oxford Dynamics in London is seeking an Applied Artificial Intelligence Engineer to join its hybrid, full-time team. The role covers multi-agent AI systems, integration of LLMs and vision-language models, and production pipelines across cloud, on‑premises, and air‑gapped environments.

You will work with engineers, product leads, and customers on evaluation, integration, and secure delivery, with strong Python and hands-on experience with LangGraph/LangChain/Haystack and containerised deployments