Ai Ml Engineer

Role & responsibilities

We are looking for an experienced AI/ML Engineer to design, develop and deploy enterprise-grade Generative AI, RAG and Agentic AI solutions for Infrastructure and Service Management operations.

The ideal candidate should have strong hands-on experience in Python, GenAI/LLMs, RAG, AI Agents, LangChain/LangGraph, APIs and cloud/MLOps, along with exposure to Infrastructure, IT Operations, AIOps or Observability.

Key Responsibilities

• Design and develop production-grade GenAI, RAG and Agentic AI applications.
• Build AI copilots/agents for incident analysis, troubleshooting, summarization and operational decision support.
• Develop RAG pipelines using embeddings, vector databases and enterprise knowledge sources.
• Integrate AI solutions with enterprise applications using REST APIs and backend services.
• Work with operational telemetry, monitoring and infrastructure data to support AIOps, anomaly detection and automation.
• Build scalable Python backend services using frameworks such as FastAPI.
• Deploy and monitor AI/ML solutions using cloud and MLOps technologies.