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Applied Materials

Senior AI Engineer, Agentic AI

Applied Materials Bangalore, IND, India Full-time 1 month ago
Embedded & Systems Software

Originally posted 22 September 2026 by the employer.

About the role

This role involves building production-grade AI, Agentic AI, and Generative AI solutions for engineering, manufacturing, service, and R&D workflows. The engineer will own the full lifecycle of AI products, from development, monitoring, optimization, and scaling.

What you'll do

  • Design, develop, and deploy LLM applications, RAG systems, multi-agent workflows, and scientific AI solutions.
  • Build scalable AI services supporting engineering co-pilots and knowledge assistants.
  • Fine-tune and optimize foundation models, 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.
  • Integrate AI solutions with Databricks, Azure AI Foundry, and AWS.

What you'll need

  • 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.

Nice to have

  • Experience with Agentic Evals, Full Stack Engineering.
  • Hands-on experience with LangGraph and Azure Cloud.
  • Semiconductor domain knowledge.

Skills: Generative AI, LLMs, AI agent development, LangGraph, Python, cloud native architectures

More semiconductor jobs: Applied Materials jobs · Software engineer jobs · India jobs

Market context

This role has been open 44 days — well below the 84-day median for Software Engineering Semiconductor roles.

Software Engineering Semiconductor · AI ML Hardware

Open roles in category
149
Median days open
84 d
Category median salary (all employers)
$194k
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
How Applied Materials compares in Software Engineering Semiconductor hiring
Metric Applied Materials All employers we track in this specialty (149 roles · 41 employers)
Open roles in this specialty 3 149
Open roles in the wider Software, Firmware & Systems family 163 6473 · 156 employers
Median days open 146 d 84 d (+62 d vs this employer)
Median salary (USD postings) — $194k

Skills observed across this category: Generative AI, LLMs, AI agent development, LangGraph, Python, cloud native architectures

Who's hiring in this category

  • NVIDIA · 35 open roles · median 234 d
  • Micron Technology · 22 open roles · median 55 d
  • Qualcomm · 17 open roles · median 210 d
  • Infineon Technologies · 12 open roles · median 55 d
  • AMD · 8 open roles · median 72 d
  • NXP Semiconductors · 4 open roles · median 69 d

How we counted: 149 open Software Engineering Semiconductor (AI ML Hardware) roles from 41 employers tracked in the SemiconductorJobs index, counted 5 Nov 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.

Apply now
Bangalore, IND, India
On-site
Full-time
1 month ago

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