AI Engineer

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.

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