Senior AI Engineer, Agentic AI

Overview

Build and operate production-grade AI, agentic AI, and generative AI solutions for engineering, manufacturing, service, and R&D workflows. Own the AI product lifecycle from solution development through monitoring, optimization, and scaling.

What you'll do

• Design, develop, and deploy LLM applications, RAG systems, multi-agent workflows, and scientific AI solutions.
• Build scalable AI services, engineering copilots, and knowledge assistants.
• Fine-tune foundation models and develop embedding pipelines and vector search systems.
• Evaluate model performance, hallucination rates, and business impact.
• Develop production systems, APIs, and reusable AI services using Python, FastAPI, LangGraph, LangChain, and Semantic Kernel.
• Integrate AI solutions with Databricks, Azure AI Foundry, and AWS.
• Mentor junior engineers, design architectures, and establish engineering best practices.

What you'll need

• 5–8 years of software engineering or machine learning experience.
• At least 2 years of hands-on generative AI experience.
• BS or MS in Computer Science, Data Science, or Software Engineering.
• End-to-end understanding of technical architecture through production deployment.
• Strong understanding of enterprise system design and SDLC.
• Expertise in Python, LangGraph, Transformers, LLMs, and integrations.
• Experience building production-grade, scalable AI systems.

Nice to have

• Experience with agentic evaluations.
• Full-stack engineering experience.
• Hands-on experience with LangGraph and Azure Cloud.
• Semiconductor domain knowledge.

Details

• Location: Bangalore, India.
• Employment type: Full time.
• Travel: 10% of the time.
• Relocation eligible.