Applied Materials

Agentic AI Systems Engineer

Reposted 4 Days Ago

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Bangalore, Bengaluru Urban, Karnataka, IND

In-Office

Mid level

Artificial Intelligence • Semiconductor • Manufacturing

The Role

As an Agentic AI Systems Engineer, you will design systems enabling AI agents to collaborate with engineers, build developer tooling, and create a multi-agent environment.

Summary Generated by Built In

Who We Are

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.

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.

As a Software Engineer at Applied Materials, you’ll dive deep into ground-breaking technologies—like machine learning and AI—to craft novel software solutions that solve our customers’ high-value problems. Our Software Engineers are responsible for designing, prototyping, developing, and debugging software solutions for semiconductor equipment components and devices to ensure quality and functionality. You'll develop software documentation and test procedures, troubleshoot software problems, and communicate with internal customers to understand project requirements. As part of our team, you'll contribute your expertise in intricate systems, deciphering code, and anticipating software behaviors to ensure Applied remains the leader in the semiconductor and display sectors.

Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials, our innovations make possible the technology shaping the future.

The software industry evolved from basic text editors to full-fledged IDEs. We are now entering the next shift: Agentic Development Environments (ADEs)—where AI agents are first-class contributors across the software development lifecycle.

We are building the systems that make this future real.

Role Overview

As an Agentic AI Systems Engineer, you will design and build the platform foundations that enable autonomous, always-on AI agents to collaborate with engineers at scale. This role is for engineers who think in systems, abstractions, and long-term leverage—not just features.

You will work at the intersection of developer platforms, distributed systems, and applied AI, shaping how agentic engineering operates across the organization.

Key Platform Areas

MCP Platform Layer
Build and evolve the Model Context Protocol (MCP) layer that provides AI agents with structured, secure, and low-latency access to internal tools, data, documentation, and the developer's lifecycle.

Skill Marketplace
Design systems that convert tribal knowledge into composable, portable “skills.” These skills can be loaded by agents on demand, making any engineer or agent productive in any repository instantly.

What You Will Build

Skill Pack Framework
Architect and ship the end-to-end skill framework, including authoring, versioning, distribution, and runtime loading across Java, Python, C++, and web-based codebases. Skills are the core differentiator—encapsulated expertise that travels with the agent.
Multi-Agent Runtime
Design and implement a multi-agent execution environment with persistent background agents, swarm coordination, and cross-agent context sharing. Enable agents to operate continuously and in parallel, not as one-shot invocations.
Agent-Aware Code Intelligence
Develop deep code understanding systems such as semantic code search, dependency-aware context modeling, and structural codebase analysis. Move beyond text-based retrieval toward true program-level reasoning.

Responsibilities

Own and evolve the MCP platform, unifying code, documentation, and developer lifecycle MCPs into a single, dependable context infrastructure.
Partner with product, domain, service, and backend platform teams to deliver foundational agentic systems.
Define technical direction for agentic infrastructure across domain and shared platforms.
Establish architecture standards, verification methods, and trust models for agent-generated code at organizational scale.
Mentor engineers in agentic development practices and raise the bar for how teams build and ship with AI agents.

Must-Have Qualifications

Proven experience building and operating developer tooling or platform infrastructure (SDKs, CLIs, APIs, runtimes) in large-scale engineering environments.
Strong proficiency in at least one major programming language (e.g., Java, Python, C++) with hands-on experience integrating AI/ML models into developer workflows.
Solid system design expertise for highly reliable, observable, developer-facing services and agentic systems.

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Yes, 20% 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.

Skills Required

Proven experience building and operating developer tooling or platform infrastructure in large-scale engineering environments
Strong proficiency in at least one major programming language with hands-on experience integrating AI/ML models
Solid system design expertise for highly reliable, observable services

Applied Materials Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Applied Materials and has not been reviewed or approved by Applied Materials.

Retirement Support — Retirement offerings are positioned as a meaningful part of total rewards, with a 401(k) match structure and auto-enrollment described alongside participation in stock-related programs. The combination of matching and purchase discounts is presented as strengthening longer-term financial benefits beyond base pay.
Healthcare Strength — Health coverage is characterized as comprehensive, spanning medical/dental/vision as well as life and disability protections, with additional support like EAP and virtual care. Onsite fitness/health centers in certain locations further reinforce the sense of a robust health and wellness benefits stack.
Leave & Time Off Breadth — Time-off provisions are described as broad, including flexible/unlimited PTO in some roles, paid holidays, sick time, bereavement leave, and parental leave. Flex-time and flexible hours appear repeatedly as part of the overall rewards experience.