Senior AI Engineer
CV-LibraryLondonpermanentPosted: 4 June 2026
Apply NowWe are partnering with an established organisation currently investing significantly in its AI and generative search capabilities. They are looking to appoint a Senior AI Engineer to play a key role in designing and delivering production-grade AI systems focused on accuracy, scalability, and real-world impact.
This position sits within a growing AI function and will focus heavily on Retrieval-Augmented Generation (RAG), agentic workflows, evaluation frameworks, and LLM optimisation.
Key Responsibilities:
Design and develop scalable RAG pipelines and generative AI workflows
Build solutions using LangChain, LangGraph, and LlamaIndex
Implement retrieval strategies including reranking, chunking, and retrieval fusion
Develop agentic workflows with a focus on robustness and maintainability
Contribute to experimentation, evaluation, and AI quality frameworks
Support fine-tuning, instruction tuning, and model optimisation initiatives
Mentor junior engineers and contribute to technical best practices
Key Requirements:
Strong Python engineering experience
Commercial experience building production-grade AI/ML systems
Hands-on experience with RAG architectures and LLM workflows
Experience with LangChain, LangGraph, and/or Llama Index
Understanding of evaluation methodologies for generative AI
Experience working within scalable cloud environments (AWS preferred)
Ability to operate in a senior or technical leadership capacity
Desirable:
Graph-RAG experience
Databricks exposure
Experience deploying customer-facing AI systems
This is an excellent opportunity to join a forward-thinking organisation where AI is a genuine strategic priority and engineering quality is highly valued.
51752MS
INDLON
The Portfolio Group are acting on behalf of our client in recruiting for this position
This position sits within a growing AI function and will focus heavily on Retrieval-Augmented Generation (RAG), agentic workflows, evaluation frameworks, and LLM optimisation.
Key Responsibilities:
Design and develop scalable RAG pipelines and generative AI workflows
Build solutions using LangChain, LangGraph, and LlamaIndex
Implement retrieval strategies including reranking, chunking, and retrieval fusion
Develop agentic workflows with a focus on robustness and maintainability
Contribute to experimentation, evaluation, and AI quality frameworks
Support fine-tuning, instruction tuning, and model optimisation initiatives
Mentor junior engineers and contribute to technical best practices
Key Requirements:
Strong Python engineering experience
Commercial experience building production-grade AI/ML systems
Hands-on experience with RAG architectures and LLM workflows
Experience with LangChain, LangGraph, and/or Llama Index
Understanding of evaluation methodologies for generative AI
Experience working within scalable cloud environments (AWS preferred)
Ability to operate in a senior or technical leadership capacity
Desirable:
Graph-RAG experience
Databricks exposure
Experience deploying customer-facing AI systems
This is an excellent opportunity to join a forward-thinking organisation where AI is a genuine strategic priority and engineering quality is highly valued.
51752MS
INDLON
The Portfolio Group are acting on behalf of our client in recruiting for this position