AI Software Development Engineer
Intel3 Locations$171k – $276kPosted 1 April 2026
Job Description
Job Details:
Job Description:
Packaging and Test Business Group (PBG) - AI Business and Solution Department is a newly established organization responsible for developing enterprise systems, AI solutions, and advanced analytics to support PBG business initiatives.
We are seeking an experienced AI Software Development Engineer to strengthen our capabilities in AI system development, Large Language Model (LLM) and Agent AI integration, and DevOps infrastructure.
The successful candidate will play a key technical role in productizing LLM-based solutions, integrating AI agents into PBG business systems, and leading DevOps practices to support scalable, secure, and production-grade AI applications deployed on on-premise Intel Cloud infrastructure.
Responsibilities will include:
Productize and integrate LLM and Agent AI solutions into PBG business systems
Evaluate, benchmark, and select LLMs for enterprise use cases
Develop backend APIs using Python and /or C#
Lead and enhance DevOps practices, including automation of AI/ML pipelines
Deploy and operate containerized, microservices-based applications using Kubernetes
Support CI/CD and production deployment of AI-enabled systems
Qualifications:
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.
Minimum Qualifications
Bachelor's Degree with 3 years of relevant experience, master's degree with 2 years of relevant experience, or PhD with 1 years of relevant experience in Computer Science, Data Science, or any related STEM discipline.
2 years of experience with the following technical skills:
Hands-on experience with DevOps, containers, and Kubernetes
Experience with LLM evaluation, Agent AI, and backend API development
Experience managing SQL/NoSQL databases via DBaaS
Experience with Linux and virtualization
Preferred Qualifications
Experience building ML applications using Python and/or R
Knowledge of semiconductor manufacturing or related domains
Experience deploying and maintaining production-grade systems
Job Type:
Experienced Hire
Shift:
Shift 1 (United States of America)
Primary Location:
US, Arizona, Phoenix
Additional Locations:
US, California, Folsom, US, Oregon, Hillsboro
Business group:
Intel Foundry strives to make every facet of semiconductor manufacturing state-of-the-art while delighting our customers -- from delivering cutting-edge silicon process and packaging technology leadership for the AI era, enabling our customers to design leadership products, global manufacturing scale and supply chain, through the continuous yield improvements to advanced packaging all the way to final test and assembly. We ensure our foundry customers' products receive our utmost focus in terms of service, technology enablement and capacity commitments. Employees in the Foundry Technology Manufacturing are part of a worldwide factory network that designs, develops, manufactures, and assembly/test packages the compute devices to improve the lives of every person on Earth.
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust
N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacatio ... (truncated, view full listing at source)
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