AI Engineer

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Overview

AI Engineer - Defence RAG Systems ( Security Clearance Essential ) On Site 2 X Days a week, Plymouth

Clearance: Active SC Essential | Sector: Defence

Role Overview

Defence client requires an SC Cleared AI Engineer to build fully on-premises RAG systems using open-source technologies. You'll develop classified AI capabilities on air-gapped infrastructure with zero external dependencies.

Responsibilities

  • Build end-to-end RAG pipelines on isolated defence networks using open-source LLMs (Llama 3, Mistral, Qwen)
  • Deploy local vector stores (Chroma, FAISS, Milvus) with sensitive document ingestion pipelines
  • Host and optimise LLMs using vLLM/TGI on local GPU clusters without internet connectivity
  • Implement agent orchestration using LangChain/LangGraph in completely offline environments
  • Design secure document processing for classified materials with appropriate data sanitisation
  • Build monitoring and evaluation systems that operate within air-gapped infrastructure

Essential Requirements

  • Active SC Clearance (non-negotiable) - willingness to undergo DV if required
  • Demonstrable experience deploying open-source LLMs (Llama, Mistral, Falcon) on-premises
  • Expertise with local vector databases (Chroma, FAISS, Weaviate) in offline deployments
  • Strong vLLM/Text Generation Inference experience for high-throughput model serving
  • Proven ability to work on air-gapped systems with no external package repositories
  • Experience with GPU orchestration (NVIDIA A100/H100) and CUDA optimisation
  • Python expertise with offline dependency management and local package mirrors

Technical Stack (All On-Premises)

  • Models: Llama 3, Mistral, Qwen (locally hosted)
  • Vector Stores: Chroma, FAISS, Milvus
  • Orchestration: LangChain, LangGraph for agents
  • Hosting: vLLM, TGI, Ollama on bare metal/private cloud
  • Infrastructure: Air-gapped Kubernetes, local container registries

Desirable Skills

  • Experience with defence/government IT security protocols
  • Knowledge of CIS benchmarks and NCSC guidelines
  • Familiarity with cross-domain solutions and data diodes
  • Understanding of classification marking and handling procedures
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Location:
London
Category:
IT & Technology

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