As an Agentic AI Systems Engineer at Applied Materials, you will design and build platform foundations that enable autonomous, always-on AI agents to collaborate with engineers at scale.

Company: Applied Materials

Role: Agentic AI Systems Engineer

Location: Bengaluru, Karnataka

Experience:

Proven experience building and operating developer tooling or platform infrastructure (SDKs, CLIs, APIs, runtimes) in large-scale engineering environments

Key Skills:

Java
Python
C++
AI/ML
Machine Learning
Distributed Systems
Developer Platforms
Agentic Development Environments (ADEs)

Qualification:

Strong proficiency in at least one major programming language (e.g., Java, Python, C++)

Role Focus:

Design and build the platform foundations that enable autonomous, always-on AI agents to collaborate with engineers at scale
Work at the intersection of developer platforms, distributed systems, and applied AI
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

Other:

Full-time, Assignee/Regular employee type
20% travel required
Relocation eligible
Equal Opportunity Employer
Supportive work culture that encourages learning, development, and growth
Programs and support for personal and professional growth and well-being

Agentic AI Systems Engineer

Skills Required

Description

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Key Skills:

Qualification:

Role Focus:

Other:

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