Description

You will own the design and deployment of intelligent, agentic AI systems for consumer healthcare interactions.

Responsibilities

• Architect and implement agentic AI chat systems integrating LLMs with tools, APIs, and memory for dynamic task execution.
• Design and develop LangGraph-based workflows to orchestrate multi-step, multi-agent interactions.
• Collaborate with Product Managers and Architects to define AI capabilities and roadmap.
• Build and maintain reference architectures, POCs, and technical documentation for engineering teams.
• Advocate for responsible AI practices, ensuring compliance with PII/PHI handling and regulatory standards.

Required Skills

• 10+ years of software engineering experience, including 3+ years in AI/ML or LLM application development.
• 2+ years of hands-on experience with LLM orchestration frameworks (LangGraph, LangChain, Semantic Kernel).
• 2+ years building agentic AI systems using OpenAI, Anthropic, or open-source LLMs.
• Strong proficiency in Python and FastAPI.
• Experience with vector databases (e.g., FAISS, Weaviate) and RAG pipelines.
• Familiarity with CI/CD, DevOps, and observability tools for AI systems.
• Experience with cloud platforms, preferably GCP, and API-first development.

Key Skills

Education

Any Graduate