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Engineer, IT, AI Enablement at Micron Technology

Boise, Idaho, United States -

Full Time

Start Date

Immediate

Expiry Date

18 Mar, 26

Salary

0.0

Posted On

18 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, TypeScript, Data Pipelines, LLM Interaction, User Interfaces, AI Performance Optimization, APIs, Unit Testing, Integration Testing, Secure Coding, Agile Methodologies, SQL, RESTful API Development, AI Orchestration Frameworks, DevSecOps, Cloud-Based AI Services

Industry

Semiconductor Manufacturing

Description

Develop production-ready code in Python and TypeScript for AI applications, including data pipelines, LLM interaction modules, and user interfaces. Optimize AI performance by refining prompt strategies and model configurations; validate outputs with data scientists for accuracy and efficiency. Integrate enterprise data securely by connecting AI models with existing workflows through APIs. Ensure security by implementing unit/integration tests, automated security scanning, and enforcing secure coding practices. Collaborate in agile teams, document technical designs, and facilitate knowledge transfer; mentor engineers and contribute to reusable libraries and standardized AI development practices. Bachelor's degree in Computer Science or related discipline, or equivalent professional experience. 2-5 years in software development, including at least 1 year working with large language models or generative AI APIs. Advanced skills in Python, SQL, and RESTful API development; familiarity with AI orchestration frameworks is advantageous. Knowledge of secure coding principles (e.g., OWASP Top 10) and demonstrated application of these standards. Effective communication and collaboration in a multicultural, fast-paced agile environment. Experience deploying AI systems at production scale. Knowledge of DevSecOps methodologies and cloud-based AI services. Participation in open-source AI projects or hackathons, reflecting a commitment to AI innovation.

Responsibilities

Develop production-ready code for AI applications and optimize AI performance. Collaborate in agile teams and mentor engineers while ensuring security and integration with existing workflows.