AI Engineer

Job highlights

• 6-11 years experience with Python, LangChain, LangGraph, MCP, Azure OpenAI, FastAPI, and AI architecture design
• Design and implement AI applications, build multi-agent systems, develop APIs and backend services, integrate tools using MCP, and apply microservices architecture

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: Strong 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