Senior AI Engineer
Core
Design and build multi-agent AI systems from the ground up for high-stakes decision-making in defence, security, and commercial sectors.
Role type
Senior Applied AI Engineer (Private Sector Contractor)
Builds
Agentic AI systems, multi-agent pipelines, reasoning and retrieval infrastructure, and production-grade code for mission-critical environments.
Domain
Defence, national security, critical infrastructure, and commercial high-stakes decision-making.
Deliverable
production ML models
Required skills
Python, LLM frameworks (LangGraph, LangChain, Haystack), multi-agent system design, production-grade software engineering, data pipeline construction, model integration (LLM/VLM), search and retrieval over large multi-modal datasets, cloud/on-premises deployment, Docker, Git, AWS.
Preferred skills
Multimodal reasoning, edge/offline AI deployments, Kubernetes (EKS/OpenShift), MLOps, observability tooling for agentic systems.
Technologies
LangGraph, Haystack, LangChain, AWS, Docker, Git, Kubernetes, EKS, OpenShift.
Responsibilities
Design and build multi-agent AI systems from the ground up; write clean, tested, maintainable code with reliability and latency as first-class concerns; integrate large language and vision-language models into reasoning and task-execution pipelines; deploy systems into cloud, on-premises, and fully offline environments; build production pipelines from data ingestion through inference; create evaluation, observability, and guardrails for system behaviour; set technical direction and design patterns for the workstream.
Seniority
Senior, hands-on IC with technical ownership