Open roleExternal
AI Engineer
- manchester, england, United Kingdom
- Permanent·On-site
- Full time
- £70 - £110 Per Hour
Job Description
AI Engineer – Enterprise Knowledge Base (EKB)
Role Overview
We are looking for an experienced AI Engineer to design, build, and deploy enterprise-grade AI solutions that enhance knowledge discovery, retrieval, and automation. The ideal candidate will have strong expertise in Generative AI , Large Language Models (LLMs) , AI Agents , and modern AI application frameworks, with a passion for delivering scalable, production-ready solutions.
Key Responsibilities
- Design and develop AI-powered applications using GenAI , LLMs , NLP , and Agentic AI technologies.
- Build intelligent RAG (Retrieval-Augmented Generation) solutions leveraging Embeddings and Vector Databases .
- Develop and orchestrate AI Agents and Multi-Agent Systems to automate complex business workflows.
- Apply Prompt Engineering and Context Engineering techniques to optimise AI performance and accuracy.
- Implement AI solutions using frameworks such as LangChain , LangGraph , and MCP .
- Integrate AI services and enterprise platforms through REST APIs and cloud-native architectures.
- Deliver scalable, secure, and reliable solutions using Python , SQL , Git , and CI/CD practices.
- Test, evaluate, and continuously improve LLM and AI Agent performance, reliability, and safety.
- Collaborate with business, data, and engineering teams to drive AI adoption and innovation.
Required Skills
- AI , Generative AI (GenAI) , Large Language Models (LLMs) , Natural Language Processing (NLP)
- Prompt Engineering , Context Engineering
- AI Agents , Agentic AI , Multi-Agent Systems
- LangChain , LangGraph , Model Context Protocol (MCP)
- RAG , Embeddings , Vector Databases
- Python , SQL , REST APIs
- Git , CI/CD
- Cloud Platforms (Azure, AWS, or GCP)
- LLM & AI Agent Testing and Evaluation
Desirable Skills
- Knowledge Graphs
- Semantic Search
- Responsible AI
- Token Optimisation & Cost Management
- AI Evaluations (Evals)
- Re-ranking Techniques
- Caching Strategies
Preferred Experience
- Experience designing and implementing Enterprise Knowledge Bases (EKBs) , AI-powered enterprise search, knowledge management, or intelligent retrieval platforms.
- Experience delivering AI solutions from prototyping through to production deployment in enterprise environments.