Artificial Intelligence Engineer

AI Engineer

Location - London (Hybrid)

Day Rate - Up to £750

Interview process - 2 stages

We're supporting a major UK bank on its AI transformation, seeking an experienced AI Engineer to take ownership of building RAG pipelines, document processing workflows, and GenAI services. The strategic direction is set and now it's time to deliver production-ready solutions in a cloud-native Azure environment.

Role Overview

· Develop and optimise RAG pipelines using LangChain, LlamaIndex, or Haystack.

· Build ingestion workflows (OCR, chunking, embedding, semantic search) and integrate with vector databases (FAISS, Pinecone, Qdrant).

· Ensure seamless integration of GenAI services into business workflows, prioritising security, scalability, and compliance.

· Collaborate with cross-functional teams (data scientists, architects, engineers) to drive high-performance, enterprise-ready solutions.

Key Skills Required

· Expertise in LLM pipelines, embedding models, and vector search architecture.

· Strong hands-on experience with the Azure AI stack (Azure OpenAI, Azure Search).

· Proficient in Python, CI/CD, and MLOps tools (Git, Azure DevOps).

· Experience working in regulated environments, ideally within financial services.

Nice to Have

· Familiarity with PEFT (LoRA, QLoRA), privacy-preserving AI, and secure deployment.

· Experience with PromptOps, cloud security, and deploying LLM solutions in VPC environments.