Roles & Responsibilities:
Design and implement AI applications and agent-based solutions using Python, LangChain, and LangGraph.
Build and integrate agentic and multi-agent systems.
Develop tool and system integrations using MCP.
Build APIs and backend services using FastAPI and Python backend frameworks.
Work with LLM platforms such as Azure OpenAI or equivalent.
Apply microservices architecture and software design patterns to AI solutions.
Design scalable, secure, and reliable AI architectures.
Work with databases, caching systems, and vector stores where required.
Implement agent-to-agent communication and orchestration where applicable.

Experience: Must-Have Skills
Minimum 6 - 11 years of relevant experience
Python: Solid development skills
LangChain & LangGraph: AI application and agent orchestration




Agentic AI & Multi-Agent Systems: Designing and implementing agent-based solutions
MCP (Model Context Protocol: Tool and system integration
Azure OpenAI / LLM Experience: Hands-on experience with Azure OpenAI or other LLM platforms
FastAPI / Python Backend Frameworks: API and service development
Microservices & Design Patterns: Solid software architecture fundamentals
AI Architecture: Design knowledge of scalable, secure, and reliable AI systems

Nice-to-Have Skills
A2A (Agent-to-Agent) Agent-to-agent communication
PostgreSQL
Redis
Vector Databases / Vector Stores

📌 Lead Generative Ai Engineer Bengaluru
🏢 Insaito Software
📍 Bengaluru