Job Description
Must hold SC or DV ClearancePermanent or ContractHYBRID (2 days a week onsite) 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.What You Will Be DoingWe 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 ResponsibilitiesArchitect, build, and optimise multi-agent AI systems using frameworks such as LangGraph, Haystack, or equivalentIntegrate LLMs and vision-language models into agent workflows for reasoning, search, summarisation, and task executionDeploy AI systems into cloud, on-premises, and air-gapped environmentsBuild production-ready pipelines from data ingestion through to inferenceExperience with observability for AI systems, including agent behaviour, model performance, and failure modesCollaborate with engineers, product leads, and customers to translate requirements into working systemsContribute to evaluation frameworks, system integration, and performance trackingAct as a technical authority for agentic AI - setting design patterns for junior engineersRequirements RequiredActive SC clearanceCommercial experience building multi-agent or agentic AI systems in productionStrong Python skills and hands-on experience with LLM frameworks (LangGraph, LangChain, Haystack, or similar)Experience deploying AI/ML systems into production environmentsFamiliarity with Docker, Git, and cloud platforms (AWS preferred)Understanding of secure deployment patterns - air-gapped, on-premises, or sovereign cloudPreferredExperience with multimodal reasoningExperience with edge or offline AI deploymentsFamiliarity with Kubernetes (EKS/OpenShift) for monitoring and managing deployed applicationsMLOps experience - model evaluation, monitoring, reproducibilityObservability 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 systemsFamiliarity with secure-by-design development principles (ISO 27001, NIST, OWASP)Experience in defence, national security, or similarly regulated environmentsContributions to open-source AI/ML projectsSoft SkillsDelivery-focused - you ship working systems, not prototypesComfortable operating across the stack when neededStrong communicator - can present to technical and non-technical stakeholdersThrives in small teams with high ownershipBenefits include:Rapid career progression and personal growthFlexible working hoursOpportunity to shape the future of a fast-growing businessHybrid working modelCompany pension (NEST) with 4% employer contributionPrivate Healthcare29 days holiday + public holidaysTPBN1_UKTJ