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

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 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.