Data Scientist

Role Overview: Senior AI Engineer (Agentic Systems & RAG)

We are seeking a seasoned AI Engineer with 35 years of experience to design and scale production-grade LLM applications. The ideal candidate will move beyond simple prompting to build complex, stateful multi-agent systems.

Core Technical Requirements

• Framework Mastery: Extensive hands-on experience with LangChain and LangGraph for building cyclic, stateful multi-agent workflows.
• RAG Architecture: Proven track record of building production-ready Retrieval-Augmented Generation pipelines (including advanced retrieval techniques like hybrid search, re-ranking, and query decomposition).
• Production Engineering: Experience moving AI models from notebook/PoC to stable production environments, including monitoring and evaluation.
• Version Control: Expert-level knowledge of Git workflows (branching, merging, PR reviews) in a collaborative team setting.

Key Responsibilities

Develop and maintain sophisticated AI agents using LangGraph to handle complex logic and tool-calling.

• Optimize Vector Databases (e.g., Pinecone, Weaviate, or Milvus) for high-performance retrieval.
• Implement robust error handling and "guardrails" to ensure AI outputs meet production quality standards.
• Collaborate with DevOps to containerize and deploy AI services. Looking for good communication skills/stakeholder management