Ai Ml Engineer

Key Responsibilities

• Design and develop scalable AI/ML systems and Agentic AI solutions.
• Develop AI agents using frameworks such as Google ADK, LangGraph, and LangChain.
• Build and integrate LLM-based applications using models such as Gemini and OpenAI.
• Design and implement RAG-based solutions and NLP applications.
• Develop AI services and APIs using Python and FastAPI.
• Work with MCP (Model Context Protocol), including client and server implementations.
• Develop and optimize ML pipelines and support MLOps practices.
• Work with Spark for large-scale data processing.
• Design and develop AI-powered Developer Assistants for code generation using tools/models such as Qwen, Claude, or Copilot.
• Implement CI/CD pipelines for AI/ML applications.
• Contribute to system architecture, technical design, development, testing, and deployment.
• Collaborate with cross-functional teams and effectively communicate technical concepts to stakeholders.
• Follow best practices for scalability, security, performance, and maintainability.