Full-Stack AI Engineer, IPAI, SMAI

United States Digital Space LLC; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Micron Technology, Inc. is seeking a hands-on Full-Stack AI Engineer to design, build, and deploy production-grade AI applications across global fab and assembly/test plants. You will own AI products end-to-end—from data pipelines and model training to web/mobile front-ends, APIs, and on‑prem or edge deployment.

The role involves building end-to-end AI products, integrating LLMs, and working with robotics platforms and the Micron MES ecosystem, with CI/CD automation and strong observability.

Qualifications

• 2+ years building and shipping production web or AI applications end to end.
• Proficient in Python and modern JavaScript/TypeScript.
• SQL fluency and cloud experience (AWS/Azure/GCP).
• Hands-on with Docker + Kubernetes; CI/CD ownership.
• Experience with LLMs, GenAI stack, MLOps/LLMOps and eval/safety practices.
• Bonus: semiconductor manufacturing or regulated high-reliability exposure.

Responsibilities

• Design, build, and ship full-stack AI applications for Micron's Autonomous Operations.
• Develop responsive front-ends using React/Angular/Streamlit with Python/FastAPI backend.
• Integrate LLMs and agentic patterns into production workflows for fab engineers.
• Integrate robotics, AMRs, tool automation with manufacturing apps and MES.
• Containerize services (Docker), deploy via Kubernetes/OpenShift; automate releases with CI/CD.
• Instrument AI with monitoring, drift detection, evals, and feedback loops; uphold MLOps first‑class status.

Skills

Python

JavaScript

TypeScript

React

Docker

Kubernetes

CI/CD

SQL

Cloud (AWS/Azure/GCP)

LLMs/GenAI

Education

Bachelor's or Master's in CS/SE/Data Science

Tools

Docker

Kubernetes

GitHub Actions

FastAPI

React

Streamlit

Job description

Our vision is to transform how the world uses information to enrich life for all.

Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

Full-Stack AI Engineer, IPAI, SMAI

Join the company at a defining moment in our history. We are seeking a hands‑on, results‑driven Full‑Stack AI Engineer to design, build, and deploy production‑grade AI applications across our worldwide fab and assembly/test plants. Reporting in Industrial and Physical AI director, you will own AI products end to end – from data pipelines and model training to web/mobile front‑ends, APIs, and on‑prem or edge deployment – shipping the tools that put AI into the hands of fab engineers, operators, and leadership across this global program.

Job Responsibilities

Design, build, and ship full‑stack AI applications for Micron's Autonomous Operations, including:

• Design and build end‑to‑end AI products: data ingestion, feature pipelines, model training/inference, APIs, web UI, and observability
• Develop responsive front‑ends in React, Angular, or Streamlit, backed by Python/FastAPI, with strong type‑safety and test coverage
• Integrate LLMs and agentic into production workflows for fab engineers
• Integration of robotics platforms, AMRs, tool automation, and control systems with smart manufacturing applications and the Micron MES ecosystem
• Containerize services (Docker), deploy via Kubernetes/OpenShift, and automate releases with CI/CD (GitHub Actions)
• Instrument production AI with monitoring, drift detection, evals, and feedback loops; treat MLOps as a first‑class engineering concern
• Apply Responsible AI practices: input validation, prompt‑injection defense, PII/IP redaction, model risk and audit logging
• Optimize performance and cost: caching, batching, GPU utilization, model quantization, and right‑sizing inference for edge or cloud

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field; equivalent industry experience accepted
• 2+ years building and shipping production web or AI applications end to end
• Python skills and modern JavaScript/TypeScript
• SQL fluency
• Hands‑on experience with at least one cloud (AWS, Azure, or GCP) and with Docker + Kubernetes; CI/CD pipeline ownership
• Working knowledge of LLMs and the GenAI stack: prompt engineering, function/tool calling, RAG, agentic patterns; familiarity with MLOps/LLMOps and model evaluation/safety practices
• Bonus: prior experience in semiconductor manufacturing or any regulated high‑reliability environment

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.