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: Strong 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