Artificial Intelligence Engineer - Naval Background

Contract:                  Permanent or Contract considered

Location:                     Greater Oxford Area

Working Pattern:        Hybrid (2-3 days in office)

Salary:                          Competitive

Expertise: Experience and / or background in the Navy or Naval vessels / projects is highly desirable for this role

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.

You will work closely with the entire team. You will be trusted with judgment calls. You will influence the business. And you will see the impact of your work every day.

If you are excited by ownership, pace and purpose - and by building something that genuinely matters - we would love to hear from you.

Who We Are

Founded in 2020, Oxford Dynamics is a fast-growing UK deep-tech company developing AI and robotic systems designed to operate in mission-critical environments.

Our flagship AVIS (A Very Intelligent System) AI framework fuses multi-modal data - text, imagery, telemetry and sensor feeds - enabling operators to interrogate complex information at speed and make better decisions under pressure. Our STRIDER robotic platform performs autonomous tasks in hazardous environments, protecting people while extending operational reach.

Our ambition is simple but demanding: to converge AI and robotics so machines can sense, understand and act in complex, real-world environments.

We work with defence and security organisations internationally to help protect nations, infrastructure and lives.

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.

Key Responsibilities

•     Architect, build, and optimise multi-agent AI systems using frameworks such as LangGraph, 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