Description

You will design and build intelligent, agentic systems for consumer healthcare interaction.

Responsibilities

• Architect and implement agentic AI chat systems integrating LLMs with tools, APIs, and memory.
• Design and develop LangGraph-based workflows for orchestrating 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.
• Ensure AI systems meet non-functional requirements like performance, scalability, and security.

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, FastAPI, and RAG pipelines.
• Experience with vector databases (e.g., FAISS, Weaviate).
• Familiarity with cloud platforms, GCP preferred, microservices, and API-first development.
• Experience with CI/CD and DevOps tooling for AI systems.

Key Skills

Education

Any Graduate