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Full time
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Senior AI Engineer

The Portfolio GroupLondon🇬🇧United KingdomPosted 30 Jun 2026

Why This Role Stands Out

Advance your career as a Senior AI Engineer at The Portfolio Group, where you'll shape the future of generative AI and RAG systems within a growing, innovative team and enjoy the flexibility of a hybrid work environment. This role is perfect for experienced Python engineers skilled in LLM workflows and RAG architectures who are eager to make a significant impact and contribute to cutting-edge AI development. You'll have the opportunity to build production-grade AI solutions, mentor others, and leverage your expertise in a company that prioritizes AI as a strategic initiative.

Quick Overview

Work Type
Hybrid
Schedule
Full Time
Level
Mid Senior

Job 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.

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.

Skills

AWS
Databricks
Generative AI
LLM
Python

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