Hiring:
Senior AI Engineer (LLMs, Agents, RAG)Location:
Remote (UK or Canada)Type:
Full-time | PermanentSalary:
Up to £130,000 or $240,000 CanadianAre 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 searchCreating full LLM integrations using OpenAI, Hugging Face, and orchestration frameworksDeveloping robust AI agent systems with tool chaining and multi-step logicBuilding real-time frontend interfaces using React, Next.js, and Vercel AI SDKContainerising 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 performanceWriting clean, modular, testable code that scales in production environmentsWhat They''re Looking For:
3+ years'' experience as a full-stack engineer with strong Python skillsProven track record with LLMs, agentic systems, and RAG pipelinesExperience with vector databases, embeddings, and semantic searchSolid grasp of prompt engineering and LLM integration best practicesFamiliarity with containerisation, API design, and modern ML deployment toolsBonus if:
Experience with PyTorch or model fine-tuningOpen-source contributions to LLM or AI infrastructure toolsExperience with Elasticsearch or OpenSearch for retrievalFamiliarity with Terraform, GitHub Actions, or infrastructure automationBuilt document processing pipelines involving PDFs, HTML, or structured dataInterest in async workflows and distributed data processingIf 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 ..... full job details .....