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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Engineer I - Software Development (Python / AI) - **Company:** Microsemi - **Location:** Chandler, AZ, United States - **Experience:** Starter - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, C Sharp (Programming Language), C++ (Programming Language), Command-Line Interface, Databases, Data Infrastructure, Data Mining, Data Visualization, Relational Databases, Database Queries, Linux, Web Servers, Python (Programming Language), Machine Learning, Nginx, Redis, Tensorflow, Software Engineering, SQL Stored Procedures, Systems Integration, Web Platforms, Test-Driven Development (TDD), Pytorch, ReactJS, Large Language Models, Multi-Agent Systems, Prompt Engineering, Git, Event Driven Architecture, Containerization, AngularJS, Scikit Learn, Kubernetes, Information Technology, Apache Kafka, Front End Software Development, Data Pipelines, Docker, Jenkins - **Published:** June 13, 2026 - **Apply:** https://wd5.myworkdaysite.com/recruiting/microchiphr/External/job/AZ---Chandler/Engineer-I---Software-Development--Python---AI-_R2452-26 ## About the Role Bachelor's degree in Computer Science, Computer Information Systems, Mathematics, or a related field. - Proficiency in Python - you've built real applications, pipelines, or tooling with it, not just scripts. - Strong SQL skills including stored procedures and complex queries across relational databases. - Working familiarity with AI/ML concepts and at least one of: ML frameworks (scikit-learn, PyTorch, TensorFlow), LLM APIs, or AI-assisted development tools. - Ability to translate business problems into technical solutions without needing everything spelled out., **AI & Data** - Hands-on experience building or integrating LLM-based solutions (RAG pipelines, prompt engineering, agent frameworks). - Ability to effectively direct AI coding tools through clear intent and prompt articulation to produce production-quality code. - Experience with AI/ML model development, evaluation, and deployment in production environments. - Knowledge of statistics, data mining, or data visualization techniques. **Infrastructure & DevOps** - Docker/containerization and container orchestration. - Event-driven architectures and pub-sub messaging (Redis, Kafka). - Git, CI/CD pipelines (Azure DevOps, Jenkins), and test-driven development practices. - Linux/Unix command-line proficiency; web server administration (NGINX) is a plus. **Domain** - Familiarity with semiconductor fabrication or testing processes. - Experience with web front-end technologies (JavaScript, React, Angular). - Additional languages beyond Python (Java, C#, C/C++)., Bending at Waist, Carrying, Climbing, Crawling, Crouching, Feeling, Foot Controls, Fumes or Odors, Handling, Hearing, Kneeling, Lifting, Other, Piece Work, Pulling, Pushing, Reaching, Seeing, Stooping, Talking, Works Alone, Works Around Others ## Description In this role, you'll collaborate closely with test and yield engineers to turn complex manufacturing data into practical, user-friendly systems. Your work will vary from developing data pipelines to prototyping LLM-based solutions that streamline time-consuming analysis. If you enjoy tackling diverse challenges, solving meaningful real-world problems, and seeing your work deployed on the factory floor, this position offers a unique opportunity to make a direct impact., * Build Python services, APIs, and data pipelines that collect, transform, and deliver semiconductor manufacturing data at scale. * - Develop and deploy AI/ML models and LLM-based solutions that automate analysis and surface actionable insights for engineers. * - Design and maintain the data infrastructure (databases, messaging, web platforms) that the team and factory rely on daily. * - Work directly with end-users - test engineers, yield engineers, process engineers - to understand their problems and ship solutions. * - Identify and implement automation opportunities with an AI/ML-first mindset. * - Maintain clear technical documentation so the team can grow without tribal knowledge. ## Related Videos - [The Software Engineer 2030: From Coder To AI Orchestrator? - Patrick Schnell](https://www.wearedevelopers.com/videos/1825-the-software-engineer-2030-from-coder-to-ai-orchestrator-patrick-schnell) - [Post-Quantum Cryptography: Preparing for Q-Day](https://www.wearedevelopers.com/videos/100179-post-quantum-cryptography-preparing-for-q-day) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)