AI/ML Engineer | Gen AI & Agentic AI (8+ yrs)

AI/ML Engineer – Generative AI & Agentic AIExperience: 8+ Years

Location: Bangalore

Employment Type: Full-Time

Job DescriptionWe are looking for an experienced AI/ML Engineer with 8+ years of hands-on experience in Generative AI, Large Language Models (LLMs), RAG, and Agentic AI to design, develop, and deploy enterprise-grade AI solutions.

The ideal candidate should have strong expertise in Python, LLM applications, AI agents, RAG workflows, cloud AI platforms, and enterprise AI application development.

Key Responsibilities

• Design and develop scalable Generative AI and Agentic AI applications.
• Build and implement LLM-based solutions and RAG pipelines for enterprise use cases.
• Develop AI agents and multi-agent workflows using LangGraph, CrewAI, PydanticAI, or similar frameworks.
• Perform prompt engineering and optimize LLM performance for various business use cases.
• Integrate AI applications with enterprise systems using REST APIs, WebSockets, and event-driven architectures.
• Work with Databricks and cloud-based AI platforms to build and deploy AI/ML solutions.
• Develop production-ready, scalable, and secure enterprise AI applications.
• Implement CI/CD pipelines using Jenkins and manage source code using Git.
• Collaborate with data scientists, software engineers, and business teams to deliver AI-driven solutions.
• Monitor, troubleshoot, and continuously improve AI applications in production.Must-Have Skills
• 8+ years of experience in AI/ML engineering or related roles.
• Strong hands-on experience in Generative AI, LLMs, and Agentic AI.
• Strong proficiency in Python.
• Hands-on experience with RAG workflows and LLM application development.
• Experience with AI agent frameworks such as LangGraph, CrewAI, or PydanticAI.
• Strong knowledge of Prompt Engineering.
• Experience with Databricks and Cloud AI platforms.
• Strong understanding of REST APIs, WebSockets, and event-driven architecture.
• Experience with Jenkins CI/CD and Git.
• Experience developing and deploying enterprise-grade AI applications.
• Strong understanding of software development, testing, deployment, and production support.Good to Have
• Experience with multi-agent systems and Agentic AI architectures.
• Knowledge of LLMOps/MLOps and AI application monitoring.
• Experience with vector databases and embedding models.
• Experience with Azure AI, AWS, or Google Cloud AI services.
• Knowledge of AI security, governance, and responsible AI practices.