Hybrid AI Engineer – RAG, Vector Databases, Langchain

Posted 16 hours ago

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About the role

  • AI Engineer developing and optimizing advanced GenAI solutions for a leading financial services organization. Focused on Retrieval-Augmented Generation and LangChain frameworks.

Responsibilities

  • Design, build, and optimise AI solutions using Retrieval-Augmented Generation (RAG) frameworks
  • Develop and maintain integrations with Vector Databases
  • Work extensively with LangChain to build and enhance applications
  • Apply strong Prompt Engineering techniques to improve model performance
  • Develop scalable Python-based solutions to support GenAI initiatives
  • Collaborate with engineering and business teams to translate requirements into technical delivery

Requirements

  • 4-5 years of experience
  • Strong Python development experience
  • Proven experience with Prompt Engineering and LLM optimisation
  • Hands-on experience with Retrieval-Augmented Generation (RAG)
  • Strong understanding of Vector Databases
  • Experience using LangChain in enterprise environments
  • Experience working within cloud-based infrastructure

Benefits

  • Health insurance
  • Professional development opportunities
  • Flexible working arrangements

Job title

AI Engineer – RAG, Vector Databases, Langchain

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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