AI Engineer

Responsibilities:

• Design and build intelligent AI agents and agentic workflows for real-time healthcare applications at scale.
• Develop and maintain core platform components such as agent memory, multi-modal tools, MCPs, prompt modules and knowledge retrieval systems.
• Implement and refine agent evaluation and observability frameworks for performance tuning and adaptability.
• Work with open-source frameworks and SDKs to extend our Agent Builder Platform.
• Engineer robust ingestion pipelines for structured and unstructured clinical data to prepare it for agent consumption.

Requirements:

• Strong programming skills in Python (preferred), Go, or Node.js .
• Hands-on experience with AI agent frameworks like LangChain and LangGraph.
• Experience integrating agents with - Vector databases (e. g., FAISS, OpenSearch), Graph stores (e. g., Neo4j) and Analytical storage systems (e. g. ). g., Apache Iceberg.
• Familiarity with distributed systems and orchestration tools such as Ray and Temporal.
• Experience in building hybrid retrievers and query engines to handle large-scale analytical and semantic queries.
• Ability to lead cross-functional teams and drive end-to-end product releases from development to deployment.