Job highlights

- Graduate with 3-5 years in software engineering and 2+ years delivering AI, GenAI, LLM, or RAG-based enterprise solutions using .NET, Python, SQL, Azure/GCP, and Agentic AI frameworks
- Design, develop, test, and deploy AI-driven cloud-native applications and automation workflows; collaborate with stakeholders to deliver scalable, secure solutions; ensure code quality, CI/CD, and compliance

Design and develop AI-driven, cloud-native applications, intelligent automation workflows, and AI agents using Python, .NET, SQL, Azure and/or GCP. Build, integrate, test, and deploy GenAI, Agentic AI, LLM, and RAG-based solutions for enterprise use cases across Talent Acquisition and Provider Services.

Create and maintain automation frameworks, validation engines, data extraction capabilities, and autonomous remediation workflows to reduce manual effort and improve operational accuracy.

Collaborate with business stakeholders, architects, product owners, and engineering teams to translate requirements into scalable, secure, production-ready technical solutions.

Ensure code quality, CI/CD readiness, testing coverage, documentation, monitoring, and compliance with enterprise engineering, AI governance, and delivery standards.





Graduate degree or equivalent experience.

3-5 years of overall professional experience in software engineering, cloud application development, automation, or AI solution delivery.

Minimum 3 years of hands-on experience across .NET, Python, SQL, application development, and enterprise solution implementation.

At least 2 years of hands-on experience delivering AI, Agentic AI, LLM-based, GenAI, or RAG-based projects in a production or enterprise workplace.

Strong experience with Azure and/or GCP cloud platforms, including cloud-native design, deployment, integration, and operational support.

Hands-on knowledge of LLM-based frameworks, Agentic frameworks such as LangGraph, LangChain or CrewAI, and exposure to MCP-based patterns.

Experience with AI productivity and engineering tools such as GitHub Copilot, Microsoft 365 Copilot, Codex, Claude, and Visual Studio Code-based AI-assisted development.

Good understanding of RAG patterns, embeddings, vector databases, semantic search, Azure AI Search, Chroma DB, MongoDB, cognitive services, NLP, and knowledge retrieval capabilities.

📌 Associate AI/ML Engineer (Gurugram)
🏢 Optum
📍 Gurugram