AI Engineer

Artificial Intelligence Engineer Up to 6 months Contract Hybrid Salary:
Competitive

Location:

Oxford 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 - 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.

Founded in 2019, Oxford Dynamics is a fast-growing UK frontier technology company developing both digital and physical AI systems built to operate in dynamic, mission-critical environments.

At the core of everything we build is AVIS™ (A Very Intelligent System), our orchestration platform: the intelligence layer that fuses multi-modal data, including text, imagery, telemetry and sensor feeds, so operators can interrogate complex information at speed and make better decisions under pressure. AVIS™ powers our digital decision products, such as ORION for multi-source decision-to-effect, and it powers our physical platforms, including STRIDER for CBRN operations and BARBARIAN for explosive ordnance disposal.

The same brain reasons across the screen and the machine.

We work where wrong decisions can be catastrophic, partnering with defence and security organisations internationally to help protect nations, infrastructure and lives.

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 a highly regulated environment. This is a delivery role, embedded with one of our customers. 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.

• 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

• 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

• 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 pharma / bio tech or highly regulated environments is a plus
• Contributions to open-source AI/ML projects

• Delivery-focused - you ship working systems, not prototypes
• Comfortable operating…