Artificial Intelligence Engineer
Core
Building and shipping agentic AI systems in production for defence and national security customers.
Role type
Senior IC agentic AI engineer
Builds
Multi-agent AI pipelines integrating LLMs and vision-language models into secure, air-gapped workflows
Domain
Defence, national security, AI, robotics
Deliverable
production ML models
Required skills
multi-agent AI system architecture, LLM integration, secure deployment patterns, Python, cloud platforms, observability for AI systems
Preferred skills
multimodal reasoning, edge/offline AI deployments, Kubernetes, MLOps, agent orchestration protocols, secure-by-design principles
Technologies
LangGraph, Haystack, LangChain, Docker, Git, AWS, Kubernetes (EKS/OpenShift)
Responsibilities
Architect and optimise multi-agent AI systems; Integrate LLMs and vision-language models into agent workflows; Deploy AI systems into cloud, on-premises, and air-gapped environments; Build production-ready pipelines from data ingestion to inference; Contribute to evaluation frameworks and performance tracking; Act as a technical authority for agentic AI
Seniority
Senior, hands-on IC
