Senior AI Engineer, Agentic AI

Who We Are

Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world’s technology.

What We Offer

Location:
Bangalore,IND

You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits .

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 8 years of Software Engineering / Machine Learning experience
- End-to-end understanding of development from technical architecture to production deployment
- Strong understanding of system design and SDLC in Enterprise
- 2+ 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

Additional Information

Time Type:
Full time

Employee Type:
Assignee / Regular

Travel:
Yes, 10% of the Time

Relocation Eligible:
Yes

Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.