Artificial Intelligence Engineer

Artificial Intelligence Engineer

Posted 1 week ago by twentyAI

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£750 Per day
Undetermined
Hybrid
London Area, United Kingdom
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Artificial Intelligence Azure DevOps Cloud Computing Cloud Technology Continuous Integration and Continuous Delivery DevOps Document Processing Embedding Financial Services Microsoft Azure Python (Programming Language) Scalability Semantic Search Virtual Private Cloud Workflows

Summary: The AI Engineer role involves leading the development of RAG pipelines and document processing workflows for a major UK bank's AI transformation. The position requires expertise in building production-ready solutions within a cloud-native Azure environment, focusing on security, scalability, and compliance. Collaboration with cross-functional teams is essential to deliver high-performance solutions. The role is hybrid, based in London, with a competitive day rate offered.

Key Responsibilities:

  • 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:

  • 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.
  • Familiarity with PEFT (LoRA, QLoRA), privacy-preserving AI, and secure deployment.
  • Experience with PromptOps, cloud security, and deploying LLM solutions in VPC environments.

Salary (Rate): £750 daily

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

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.
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