AI Engineer (ref: 101)

Job Description

• Design and implement stateful multi-agent networks and/or workflows using Lang Graph and/or Lang Chain.
• 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 LLM evaluation frameworks to quantitatively measure agent performance.

Requirements

• Expert-level proficiency in Python, specifically for asynchronous AI applications.
• Mastery of LangGraph and LangChain for building production-grade, stateful systems with human-in-the-loop verification patterns.
• Proven success in developing ...