Senior AI Engineer

JR United Kingdom; Basingstoke; Remote; GBP 100,000 - 130,000; Full time

Job summary

A leading tech firm is seeking a Senior AI Engineer to work on LLM integrations and RAG pipelines. The role involves creating scalable AI solutions and collaborating with researchers. Ideal candidates will have strong Python skills and a background in LLMs. This position offers a competitive salary and the flexibility to work remotely from the UK or Canada.

Qualifications

• 3+ years' experience as a full-stack engineer.
• Proven track record with LLMs and RAG pipelines.
• Experience with API design and ML deployment tools.

Responsibilities

• Build and optimise RAG pipelines.
• Create full LLM integrations using OpenAI.
• Develop AI agent systems with multi-step logic.

Skills

Strong Python skills

Experience with LLMs and agentic systems

Vector databases knowledge

Understanding of prompt engineering

Familiarity with containerisation

Tools

Docker

AWS

React

Next.js

PyTorch

Job description

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 is 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

Bonus if:

• 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 document 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.