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.
- Integrate RAG workflows with LLMs from OpenAI, Azure OpenAI, Anthropic, or open-source models.
Data Science & Machine L...