Senior Full-Stack AI Engineer

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board.

This role is outside IR35

Oxford Dynamics - Who We Are

Founded in 2020, Oxford Dynamics has grown rapidly to be recognised globally for its innovative AI & Robotics technologies designed for mission critical environments. Helping drive the future of decision making at speed from a human or autonomous platform perspective, Oxford Dynamics is a brand that is recognised and respected by Defence & Security organisations by delivering solutions that solve customer problems.

Our founders instil the business with passion and purpose meaning we have a "can do" culture and roll up our sleeves up to get the job done.

So, what is it that we do? Our flagship AVIS AI software framework fuses multi-modal data - text, imagery, telemetry etc to allow human-like conversations with complex data. Our unique STRIDER robotic platform performs autonomous tasks in hazardous environments, enabling rapid, informed decisions while protecting people and assets. Our vision is to converge the worlds of robotics and AI to enable machines to sense, understand and act in complex environments.

We work with an expanding range of clients to help protect a range of nations' citizens.

We are seeking a senior full-stack AI/ML engineer with deep expertise in agentic AI frameworks such as Lang Graph (or equivalent) and proven commercial experience building complex, multi-agent systems with more than at least four agents.

This role blends cutting-edge AI research with hands-on deployment leadership
. You will design and optimise agent-based AI pipelines, deploy them into cloud and edge environments, and own the infrastructure that keeps them secure, scalable, and cost‑efficient. You will be as comfortable in a Jupyter Notebook as you are in a Terraform config, with the ability to turn research ideas into production systems that run reliably in constrained environments.

To include, but not limited to:

• Architect, build, and optimise multi‑agent AI systems using Lang Graph or similar frameworks.
• Integrate LLMs into agent workflows for search, reasoning, and automation at scale.
• Conduct applied research in LLMs, NLP, and agent orchestration, with a focus on edge and offline deployments.
• Build production‑ready ML pipelines from ingestion to inference.

• Implement, and maintain multi‑account, multi‑region AWS environments using IaC (Terraform, Helm, Cloud Formation).
• Manage Kubernetes clusters (EKS/Open Shift), service meshes, and container registries.
• Implement Git Hub Actions / Argo CD pipelines for automated, zero‑touch deployments.
• Lead security hardening efforts using Guard Duty, Cloud Watch, IAM best practices.
• Set up observability stacks for proactive monitoring and performance tuning.
• Own backup, disaster recovery for services that you've created.

• Collaborate closely with other engineers, product managers and CTO.
• Mentor engineers on agentic AI design best practices.
• Present technical findings and research outcomes to technical and non‑technical stakeholders.

You'll be working at the intersection of advanced AI research and real-world infrastructure, shaping how Oxford Dynamics brings agentic AI systems to production in challenging environments. If you thrive on building multi‑agent systems, deploying them securely at scale, and experimenting with new ways to run AI at the edge, you'll find both the technical depth and creative freedom you're looking for here.

• MOD Security Clearance (or ability to obtain).
• Commercial experience delivering Lang Graph or equivalent agentic AI projects with more than four agents in production.
• Strong grasp of multi‑agent orchestration, memory, and tool integration.
• Proficiency in Python for AI development and Bash/Go for automation.
• Familiarity with AWS core services (EC2, VPC, IAM, S3, ALB/ELB, Cloud Front, ECR/ECS, Elastic Beanstalk, Control Tower).
• Familiarity with IaC (Terraform, Terraform Cloud, Cloud Formation) and…