Summary

Applied Materials is seeking a Senior AI Engineer to build production grade AI, Agentic AI, and Generative AI solutions that accelerate engineering, manufacturing, service, and R&D; workflows. The engineer will own the full lifecycle of AI products, from solution development, monitoring, optimization, and scaling. The role requires expertise and strong hands-on experience in LLMs, AI agent development, multi-agent orchestration, cloud native architectures, and enterprise AI platforms.

Key Responsibilities

- Design, develop, and deploy LLM applications, RAG systems, multi-agent workflows, and scientific AI solutions, and build scalable AI services supporting engineering co-pilots and knowledge assistants.

- Fine-tune and optimize foundation models, and build embedding pipelines, vector search systems, and agent orchestration frameworks.

- Evaluate model performance, hallucination rates, and business impact.

- Develop production quality systems using Python, FastAPI, LangGraph, LangChain, and Semantic Kernel, and build APIs and reusable AI services.

- Integrate AI solutions with Databricks, Azure AI Foundry, and AWS.

- Mentor junior engineers, design architectures, establish engineering best practices, and collaborate with product and business stakeholders.

- Independently deliver solutions alongside guiding team members.

Functional Knowledge





- Demonstrates depth and/or breadth of expertise in Generative AI with strong fundamentals in software engineering

Business Expertise

- Interprets internal/external business challenges and recommends best practices to improve products, processes or services

Problem Solving

- Leads to solve complex problems; uses sophisticated analytical thought to exercise judgment and identify innovative solutions

Interpersonal Skills

- Communicates advanced concepts and negotiates with others to adopt a different point of view

- Proliferation of knowledge, learnings and best practices across the team

Required Qualifications

- BS/MS in Computer Science, Data Science, or Software Engineering

- 5 to 10 years of Software Engineering / Machine Learning experience

- End-to-end understanding of development from technical architecture to production deployment

- Robust understanding of system design and SDLC in Enterprise

- 3+ years of hands-on Generative AI experience

- Expertise in Python, LangGraph, Transformers, LLMs, and Integrations

- Experience building production grade, scalable AI systems

Preferred Qualifications

- Experience with Agentic Evals, Full Stack Engineering

- Hands-on experience with LangGraph and Azure Cloud

- Semiconductor domain knowledge

📌 Senior AI Engineer, Agentic AI - Applied Materials (Bengaluru)
🏢 Applied Materials
📍 Bengaluru