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- Tasks: Build cutting-edge AI systems for defence using open-source tech in a secure environment.
- Company: Join a leading defence client focused on innovative AI solutions.
- Benefits: Enjoy flexible on-site work, with only 2 days required in Plymouth.
- Why this job: Be part of a mission-driven team making a real impact in national security.
- Qualifications: Must have active SC clearance and experience with open-source LLMs and GPU orchestration.
- Other info: Work in a highly secure, air-gapped infrastructure with no external dependencies.
AI Engineer – Defence RAG Systems ( Security Clearance Essential ) On Site 2 X Days a week Plymouth
Scroll down for a complete overview of what this job will require Are you the right candidate for this opportunity
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.
Key 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
AI Engineer ( SC CLEARANCE ) employer: 83zero Ltd
Contact Detail:
83zero Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer ( SC CLEARANCE )
✨Tip Number 1
Make sure you have your SC Clearance up to date and ready to go. Since it's a non-negotiable requirement, having this sorted will save you time and show that you're serious about the role.
✨Tip Number 2
Familiarise yourself with the specific open-source technologies mentioned in the job description, like Llama 3 and Mistral. Being able to discuss your hands-on experience with these tools during an interview can really set you apart.
✨Tip Number 3
Network with professionals in the defence sector, especially those who work with AI and air-gapped systems. Engaging in relevant forums or LinkedIn groups can provide insights and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss your experience with GPU orchestration and CUDA optimisation in detail. This is a key part of the role, and demonstrating your expertise here can significantly boost your chances of landing the job.
We think you need these skills to ace AI Engineer ( SC CLEARANCE )
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with open-source LLMs and local vector databases. Emphasise any previous work on air-gapped systems and your expertise in Python, as these are crucial for the role.
Craft a Strong Cover Letter: In your cover letter, explain why you are passionate about AI engineering in the defence sector. Mention your active SC clearance and how your skills align with the job requirements, particularly your experience with GPU orchestration and offline deployments.
Showcase Relevant Projects: If you have worked on projects involving RAG systems or similar technologies, include them in your application. Describe your role, the technologies used, and the outcomes to demonstrate your hands-on experience.
Highlight Security Awareness: Given the nature of the role, it's important to showcase your understanding of IT security protocols and data handling procedures. Mention any relevant training or certifications that demonstrate your commitment to security in your application.
How to prepare for a job interview at 83zero Ltd
✨Showcase Your SC Clearance
Since active SC clearance is non-negotiable for this role, make sure to highlight your current status and any relevant experiences that demonstrate your understanding of security protocols in defence environments.
✨Demonstrate Technical Expertise
Be prepared to discuss your hands-on experience with open-source LLMs and local vector databases. Bring examples of past projects where you deployed these technologies, especially in air-gapped systems.
✨Understand the Defence Context
Familiarise yourself with the specific challenges and requirements of working in a defence setting. This includes knowledge of IT security protocols and classification handling procedures, which will show your commitment to the role.
✨Prepare for Technical Questions
Expect in-depth technical questions about GPU orchestration, Python dependency management, and the tools mentioned in the job description. Brush up on these topics to confidently demonstrate your expertise during the interview.
