Artificial Intelligence Engineer
Posted 2 days ago by Robson Bale
Negotiable
Outside
Remote
London Area, United Kingdom
Summary: The AI/LLM Engineer role involves delivering Retrieval Augmented Generation (RAG) solutions for a major client project in London, primarily in a remote capacity. The position requires strong implementation skills to build reliable, production-ready AI systems on AWS. The contract is initially for three months with the possibility of extension, focusing on execution and delivery of advanced AI capabilities. Collaboration with technical and product teams is essential to ensure scalable and secure solutions.
Key Responsibilities:
- Design, build, and deploy RAG-based AI solutions
- Develop agentic workflows and intelligent automation capabilities
- Collaborate with architects to ensure sound AI design and integration
- Build and maintain scalable ML applications on AWS
- Implement ML Ops pipelines for training, deployment, and monitoring
- Evaluate and compare AI solutions to identify optimal approaches
- Ensure security, compliance, and reliability of production systems
- Contribute to establishing good engineering practices for AI delivery
Key Skills:
- Proven experience developing and deploying RAG solutions in production
- Strong background in LLM and agentic system development
- Familiarity with MCP or similar model control frameworks
- Hands-on experience with ML Ops tools and workflows (CI/CD, model life cycle, monitoring)
- Understanding of security and governance in AI systems
- Solid experience with AWS infrastructure and services
- Clear communication skills and ability to collaborate effectively with cross-functional teams
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
AI/LLM Engineer (Contract) - RAG Implementation | London (Mostly Remote) - Outside IR35 – Jan Start
We're seeking a skilled AI/LLM Engineer to help deliver Retrieval Augmented Generation (RAG) solutions for a major client project in London. This is a hands-on contract role suited to someone with strong implementation skills who can build reliable, production-ready AI systems on AWS. 3 months initially - Will certainly extend Market rate
The Role
You'll play a key role in designing, building, and deploying advanced AI capabilities, working closely with technical and product teams. This position focuses on execution and delivery - developing scalable, secure solutions while contributing to best practices across the AI stack.
What You'll Do
- Design, build, and deploy RAG-based AI solutions
- Develop agentic workflows and intelligent automation capabilities
- Collaborate with architects to ensure sound AI design and integration
- Build and maintain scalable ML applications on AWS
- Implement ML Ops pipelines for training, deployment, and monitoring
- Evaluate and compare AI solutions to identify optimal approaches
- Ensure security, compliance, and reliability of production systems
- Contribute to establishing good engineering practices for AI delivery
What You'll Bring
- Proven experience developing and deploying RAG solutions in production
- Strong background in LLM and agentic system development
- Familiarity with MCP or similar model control frameworks
- Hands-on experience with ML Ops tools and workflows (CI/CD, model life cycle, monitoring)
- Understanding of security and governance in AI systems
- Solid experience with AWS infrastructure and services
- Clear communication skills and ability to collaborate effectively with cross-functional teams