Senior AI Engineer

Salary: £100,000 - 100,000 per year

Requirements:

• Must be eligible for active SC or DV clearance
• Commercial experience building multi-agent or agentic AI systems in production
• Strong Python skills
• 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, with AWS preferred
• Understanding of secure deployment patterns, including air-gapped, on-premises, or sovereign cloud environments
• Experience with multimodal reasoning
• Experience with edge or offline AI deployments
• Familiarity with Kubernetes such as EKS or OpenShift for monitoring and managing deployed applications
• MLOps experience, including model evaluation, monitoring, and reproducibility
• Experience with observability tooling for agentic systems, including model drift, agent behaviour, and performance monitoring
• Experience with agent orchestration patterns and inter-agent communication protocols such as A2A
• Familiarity with MCPs for tool and context integration in agentic systems
• Familiarity with secure-by-design development principles such as ISO 27001, NIST, and OWASP
• Experience in defence, national security, or similarly regulated environments
• Contributions to open-source AI/ML projects
• Delivery-focused mindset with the ability to ship working systems, not prototypes
• Comfortable operating across the stack when needed
• Strong communication skills with the ability to present to technical and non-technical stakeholders
• Thrives in small teams with high ownership

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
• Implement 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
• Own features end-to-end from design through to deployment in constrained environments where reliability and security matter more than speed to market

Technologies:

• AI
• AWS
• Architect
• Cloud
• Docker
• Git
• Kubernetes
• LLM
• OWASP
• OpenShift
• Python
• Security

More:

We are a fast-growing business working on cutting-edge agentic and generative AI for defence and national security customers. This is a permanent or contract hybrid role based initially in Oxfordshire, with 2 days a week onsite and the location potentially changing to London. We offer rapid career progression, personal growth, flexible working hours, a hybrid working model, company pension with 4% employer contribution through NEST, private healthcare, and 29 days holiday plus public holidays. You will work closely with the entire team, have real ownership, make judgment calls, influence the business, and see the impact of your work every day.

last updated 31 week of 2026