Salary: £42,000 – 72,500 per year
Requirements
- At least 7 years of deep technical experience designing, developing, and launching scalable AI applications built around LLMs and RAG.
- Active SC Clearance is mandatory.
- Active NPPV3 clearance is highly desirable.
- Proven ability to merge advanced AI workflows with standard IT infrastructure, database systems, and secure networks.
- Strong commitment to rigorous testing, continuous monitoring, and operational support models for live AI applications.
Responsibilities
- We will design and deploy production‑ready multi‑agent ecosystems with advanced tool calling, state management, long‑term memory, and autonomous execution.
- We will create and operationalise complex AI workflows using modern orchestration frameworks such as LangChain and LangGraph.
- We will implement secure integration patterns, including Model Context Protocol (MCP), to connect LLMs with client data, tools, and legacy systems.
- We will establish reusable architectural patterns, robust evaluation pipelines, and standardised deployment frameworks to scale AI from prototype to enterprise use.
- We will develop high‑performance APIs and integrate vector databases into live, automated business workflows.
- We will embed AI safety measures, comprehensive logging, automated guardrails, and human‑in‑the‑loop controls to support responsible and compliant behaviour.
- We will collaborate on cloud‑native CI/CD pipelines and MLOps/LLMOps practices for highly regulated environments.
Technologies
- AI
- CI/CD
- Cloud
- Support
- Architect
More
We are seeking a Senior AI Engineer to help industrialise enterprise‑grade AI capabilities across secure cloud environments. This is a hands‑on technical role focused on building sovereign, compliant, and autonomous AI solutions that scale. The position is hybrid with a flexible office/remote split, and offers a competitive contract day rate depending on experience. We are looking for someone who can bridge advanced AI research with mission‑critical production systems in a secure and regulated setting.
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