Ml Engineer

I/ML Engineer Agentic AI / LLM

• AI/ML Engineer – Agentic AI / LLM
• Work mode: 4 days from Office
• Location: ITPL, Bengaluru
• Experience:3-5

AI/ML Engineer – Agentic AI / LLM

Experience:  4 Years | Job Type: Full-Time

Role Overview

We are looking for an AI/ML Engineer with 4 years of experience, including 3+ years of hands-on experience in Agentic AI OR LLM/Generative AI.

The engineer will work with technical and project teams to design, develop, integrate, and deploy AI/ML solutions. The role requires strong Python and software engineering skills, along with practical experience building AI-powered applications.

Key Responsibilities

• Design and develop AI/ML solutions and applications using Python.
• Build and integrate LLM/Generative AI applications or AI agent solutions based on project requirements.
• Develop RAG-based applications, prompt workflows, and LLM integrations where required.
• Build AI agents using frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or PydanticAI.
• Integrate AI solutions with REST APIs, databases, and existing enterprise applications.
• Develop and maintain scalable AI services using FastAPI or similar frameworks.
• Deploy and support AI/ML applications on Azure and/or Databricks.
• Work with development and platform teams on CI/CD, testing, deployment, monitoring, and production support.
• Maintain clean, reusable, and well-documented code using Git and standard development practices.
• Understand project requirements and work with technical teams to deliver practical AI solutions.

Required Skills

• 5 years of experience in AI/ML, Machine Learning, Artificial Intelligence, or related software engineering roles.
• 3+ years of hands-on experience in Agentic AI OR LLM/Generative AI.
• Strong Python development experience.
• Practical experience with LLMs, RAG, prompt engineering, or AI agents.
• Experience with at least one framework such as LangGraph, LangChain, CrewAI, AutoGen, or PydanticAI.
• Experience with REST APIs and application integration.
• Familiarity with Azure and/or Databricks.
• Experience with Git and CI/CD practices.
• Good communication and problem-solving skills.

Good to Have

• Experience with both Agentic AI and LLM/Generative AI.
• Exposure to MLOps/LLMOps and AI application monitoring.
• Experience with Azure OpenAI, Azure AI Search, vector databases, MLflow, or LangSmith.
• Familiarity with Docker, Kubernetes, or event-driven architectures.
• Experience using AI-assisted development tools such as GitHub Copilot, Windsurf, or Codeium.Role & responsibilities

Preferred candidate profile

Perks and benefits