{"@context":"https://schema.org/","@type":"JobPosting","title":"Senior Python/GenAI Developer

• The Python Specialist: A developer with 6-10 years of professional experience. You must have "under-the-hood" knowledge of Python, specifically for building high-throughput microservices and complex data pipelines using FastAPI, Pandas, and NumPy.
• The RAG & Agentic Expert: This is the "Critical" requirement. Our client needs someone with deep hands-on experience building Retrieval-Augmented Generation (RAG) pipelines and Agentic frameworks. You should know how to use LangChain or LlamaIndex to create AI that can execute multi-step tasks.
• The Data Architect: Proficiency in Vector Databases is essential. You should be comfortable designing data persistence layers using PG Vector, Pinecone, Milvus, or Mongo Atlas to handle large amounts of unstructured data.
• The MLOps Engineer: You don't just write code; you ship it. Our client requires experience deploying GenAI models into production using Kubernetes (or OpenShift) and establishing robust CI/CD pipelines via Jenkins, GitLab, or Azure DevOps.
• The AI Safety Advocate: A working knowledge of Guardrails is key. You should understand how to assess the performance and safety of GenAI features to ensure they meet the rigorous standards of a global bank.

Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.