Location
London (Hybrid)

Hours
Full Time

Salary
Very Competitive

About the Role
Oxford Dynamics is a fast-growing UK deep-tech company operating in defence, national security, AI, and robotics. You will work closely with the entire team, trusted with judgment calls and influencing the business. This role offers ownership, pace, and purpose, building AI and robotic systems that genuinely matter.

Founded in 2020, Oxford Dynamics develops AI and robotic systems designed for mission-critical environments. Their flagship AVIS AI framework fuses multi-modal data to enable rapid, informed decision-making under pressure. The STRIDER robotic platform performs autonomous tasks in hazardous environments, protecting people and extending operational reach.

As an Artificial Intelligence Engineer, you will 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-focused role where you will own features end-to-end, from design through deployment in constrained environments where reliability and security are paramount.

Experience
- Commercial experience building multi-agent or agentic AI systems in production
- Strong Python skills and hands-on experience with LLM frameworks such as LangGraph, LangChain, 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 including air-gapped, on-premises, or sovereign cloud environments
- Experience with observability for AI systems including agent behaviour, model performance, and failure modes
- Collaboration with engineers, product leads, and customers to translate requirements into working systems
- Contribution to evaluation frameworks, system integration, and performance tracking
- Acting as a technical authority for agentic AI and setting design patterns for junior engineers

About you
- Delivery-focused with a strong drive to ship working systems, not prototypes
- Comfortable operating across the stack when needed
- Strong communicator able to present to both technical and non-technical stakeholders
- Thrives in small teams with high ownership and responsibility

Preferred Qualifications and Skills
- Experience with multimodal reasoning
- Experience with edge or offline AI deployments
- Familiarity with Kubernetes (EKS/OpenShift) for monitoring and managing deployed applications
- MLOps experience including model evaluation, monitoring, and reproducibility
- Experience with observability tooling for agentic systems (model drift, agent behaviour, performance monitoring)
- Knowledge of agent orchestration patterns and inter-agent communication protocols (e.g. A2A)
- Familiarity with MCPs for tool and context integration in agentic systems
- Understanding of 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
- An active SC or DV security clearance is highly desirable