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
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
| 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.