AI Engineer Defence - 3 months Contract

Artificial Intelligence Engineer

Contract: 3 months -- with potential to extend

Salary:
Very Competitive

Location:
Oxford

Work Pattern:
Hybrid & Flexible

This role requires an active SC or DV. We will not be able to progress with your application if you do not currently hold one.

A NOTE FROM THE FOUNDERS

Oxford Dynamics is at an inflection point. We operate in some of the most complex and high-stakes environments in the world
-defence, national security, AI and robotics. The decisions we make now will define not just how fast we grow, but who we become.

What You Will Be Doing

We are looking for AI engineers who build and ship agentic AI systems in production. You will work at the cutting edge of agentic and generative AI - designing multi-agent pipelines, integrating large language models and vision-language models into real workflows, and deploying them into secure and air-gapped environments for defence and national security customers. This is a delivery role. You will own features end-to-end - from design through to deployment in constrained environments where reliability and security matter more than speed to market.

Requirements

• Architect, build, and optimise multi-agent AI systems using frameworks such as Lang Graph, Haystack, or equivalent
• Integrate LLMs and vision-language models into agent workflows for reasoning, search, summarisation, and task execution
• Deploy AI systems into cloud, on-premises, and air-gapped environments
• Build production-ready pipelines from data ingestion through to inference
• Experience with observability for AI systems, including agent behaviour, model performance, and failure modes
• Collaborate with engineers, product leads, and customers to translate requirements into working systems
• Contribute to evaluation frameworks, system integration, and performance tracking
• Act as a technical authority for agentic AI - setting design patterns for junior engineers

Requirements

• Commercial experience building multi-agent or agentic AI systems in production
• Strong Python skills and hands-on experience with LLM frameworks (Lang Graph, Lang Chain, Haystack, or similar)
• Experience deploying AI/ML systems into production environments
• Familiarity with Docker, Git, and cloud platforms (AWS preferred)
• Understanding of secure deployment patterns - air-gapped, on-premises, or sovereign cloud

Preferred

• Experience with multimodal reasoning
• Experience with edge or offline AI deployments
• Familiarity with Kubernetes (EKS/Open Shift) for monitoring and managing deployed applications
• MLOps experience - model evaluation, monitoring, reproducibility
• Observability tooling for agentic systems (model drift, agent behaviour, performance monitoring)
• Experience with agent orchestration patterns and inter-agent communication protocols (e.g.A2A)
• Familiarity with MCPs for tool and context integration in agentic systems
• Familiarity with secure-by-design development principles (ISO 27001, NIST, OWASP)
• Experience in defence, national security, or similarly regulated environments
• Contributions to open-source AI/ML projects

Soft Skills

• Delivery-focused - you ship working systems, not prototypes
• Comfortable operating across the stack when needed
• Strong communicator - can present to technical and non-technical stakeholders
• Thrives in small teams with high ownership

Benefits

Why Oxford Dynamics?

Join the most exciting growth area in the UK: AI and Robotics! Every member of the Oxford Dynamics team has a major impact on the products and services we provide. Regardless of job title, you will get to make a real difference and learn from colleagues about all areas of our business.

Oxford Dynamics is committed to creating an inclusive team experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or parental status, we believe our work is at its best when everyone feels free to be their authentic self.