Found Description
What You'll Do
- Design and implement stateful multi-agent networks and/or workflows using LangGraph and/or LangChain.
- Build and optimise end-to-end RAG pipelines, focusing on high-precision retrieval, semantic search, and the integration of diverse data sources (vector DB, graph DB, RDBMS, etc).
- Architect and implement multi-layered guardrails to ensure agent actions remain within business scope, enterprise safety and policy boundaries.
- Build and maintain high-performance AI microservices, ensuring they are optimised for OCI-compliant environments.
- Use of LLM evaluation frameworks to quantitatively measure agent performance.
- Partner with software teams to define data contracts and integrate information flow from AI layer to software backend and frontend.
Technical Requirements
- Expert-level proficiency in Python, specifically for asynchronous AI applications.
- Mastery of LangG...