Senior AI Engineer, Agentic AI
Applied Materials (company site, opens in a new tab)5–8 yrsBengaluruOn-siteDirect career pageEst. 28–45 LPA
Posted on 22 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own full lifecycle of production-grade AI products including development, monitoring, optimization, and scaling of Agentic AI and Generative AI solutions.
- Design and deploy LLM applications, multi-agent workflows, embedding pipelines, vector search systems, and AI services for engineering co-pilots and knowledge assistants.
- Mentor junior engineers, establish best practices, collaborate with stakeholders, and integrate AI solutions with cloud platforms like Azure, AWS, and Databricks.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, or Software Engineering.
- 5 to 8 years of software engineering or machine learning experience.
- At least 2 years of hands-on experience with Generative AI, including LLMs, Transformers, and Python programming.
- Experience with production-grade scalable AI systems and enterprise system design; work location: Bangalore, India; 10% travel required.
Ideal Candidate Profile
- Deep technical expertise in Generative AI, including hands-on with LangGraph, Transformers, and multi-agent orchestration frameworks.
- Proven ability to independently deliver complex AI solutions while mentoring team members and collaborating cross-functionally.
- Comfortable operating in enterprise environments with experience integrating AI systems in cloud-native architectures and familiarity with semiconductor domain preferred.