Advanced AI & Data Science Specialist – Multi‑Agent Intelligence

Key Responsibilities

AI System & Agentic Workflows

• Design, build, and optimize agentic AI systems using modern agent frameworks (e.g., LangGraph, AutoGen, Haystack Agents, ReAct-style agents).
• Implement multi-agent collaboration patterns, task orchestration, memory architectures, tool integrations, and reasoning-enhancing strategies.
• Develop secure, robust, and scalable tool‑calling and function-execution flows for agents operating in dynamic environments.

RAG Architecture & LLM Applications

• Architect and deploy RAG pipelines , including:
• Document ingestion, text splitting, metadata extraction
• Vector database integration (e.g., Postgress)
• Query transformation, retrieval optimization, re-ranking, and grounding
• Evaluate and optimize RAG components for latency, accuracy, hallucination reduction, and domain specificity.
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