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# Senior AI Engineer

- **Company:** Portfolio Group Ltd
- **Location:** London, UK
- **Experience:** Expert
- **Salary:** £80,000.0 - £100,000.0
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Python (Programming Language), Cloud Platform System, LangChain, Retrieval-Augmented Generation, Large Language Models, Llamaindex, Generative AI, Agentic-AI, Machine Learning Operations, Graph RAG, Databricks
- **Published:** October 15, 2026
- **Apply:** https://www.gradsouthwest.com/jobs/apply/ats-redirect/?id=3021696309-2

## About the Role

+ 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

## Description

We 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., + 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