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AI Engineer – RAG, Vector Databases, Langchain
DeloitteAI Engineer developing and optimizing advanced GenAI solutions for a leading financial services organization. Focused on Retrieval-Augmented Generation and LangChain frameworks.
Tech Stack
Tools & technologiesCloudPython
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- Health insurance
- Professional development opportunities
- Flexible working arrangements
ATS Keywords
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Hard Skills & Tools
PythonPrompt EngineeringRetrieval-Augmented GenerationLLM optimisationVector DatabasesLangChainAI solutionsscalable solutionsintegrationscloud-based infrastructure