Senior AI Engineer

iO Associates; United Kingdom; Remote; GBP 100,000 - 130,000; Full time

Job summary

A tech-driven consulting firm in the UK is looking for a skilled Senior AI Engineer to work remotely. You will focus on building and optimising RAG pipelines, creating LLM integrations, and developing AI agent systems. Candidates should have 3+ years of full-stack engineering experience and a strong background in Python and LLMs. This is an exciting opportunity to contribute to impactful AI applications in a fast-paced team environment.

Qualifications

• 3+ years' experience as a full-stack engineer.
• Proven track record with LLMs and agentic systems.
• Experience with vector databases and embeddings.

Responsibilities

• Build and optimise RAG pipelines.
• Create LLM integrations using OpenAI and Hugging Face.
• Develop AI agent systems with tool chaining.

Skills

Strong Python skills

Experience with LLMs

Agentic systems expertise

RAG pipeline knowledge

Containerisation expertise

API design experience

Prompt engineering skills

Tools

Docker

AWS

PyTorch

Elasticsearch

Terraform

Job description

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Hiring: Senior AI Engineer (LLMs, Agents, RAG)
Location: Remote (UK or Canada)
Type: Full-time | Permanent
Salary: Up to £130,000 or $240,000 Canadian

Are you passionate about building real AI systems that get used in production? Interested in LLMs, RAG pipelines, and agentic software, with the freedom to make a real impact?

My client are a well-funded early-stage team helping enterprise clients in regulated sectors deploy scalable AI without overhauling their infrastructure. They focus on performance, maintainability, and fast iteration. No fluff, just outcomes. They're now looking for engineers who want to help shape that future.

What You'll Be Working On:

Building and optimising RAG pipelines including chunking, embeddings, and vector search

Creating full LLM integrations using OpenAI, Hugging Face, and orchestration frameworks

Developing robust AI agent systems with tool chaining and multi-step logic

Building real-time frontend interfaces using React, Next.js, and Vercel AI SDK

Containerising services using Docker and deploying to AWS (ECS, Lambda)

Collaborating with researchers to productionise transformer models (e.g. PyTorch, HF)

Using observability tools like Langfuse to monitor prompt and model performance

Writing clean, modular, testable code that scales in production environments

What They're Looking For:

3+ years' experience as a full-stack engineer with strong Python skills

Proven track record with LLMs, agentic systems, and RAG pipelines

Experience with vector databases, embeddings, and semantic search

Solid grasp of prompt engineering and LLM integration best practices

Familiarity with containerisation, API design, and modern ML deployment tools

Experience with PyTorch or model fine-tuning

Open-source contributions to LLM or AI infrastructure tools

Experience with Elasticsearch or OpenSearch for retrieval

Familiarity with Terraform, GitHub Actions, or infrastructure automation

Built doc processing pipelines involving PDFs, HTML, or structured data

Interest in async workflows and distributed data processing

If you're ready to work on meaningful, high-impact AI problems in a fast-moving team, we'd love to hear from you.

Apply now or drop us a message to chat more.