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Software AI Engineer at micro
Job in
Tempe, Maricopa County, Arizona, 85280, USA
Listed on 2026-06-04
Listing for:
Feedinkoo
Full Time
position Listed on 2026-06-04
Job specializations:
-
Software Development
AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
We are seeking a talented Software AI Engineer to join our customer’s team in Washington, DC. This is a unique opportunity to work on cutting‑edge AI/ML projects, leveraging the latest advancements in Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG), and full‑stack development. If you are passionate about building innovative solutions and thrive in a collaborative on‑site environment, we want to hear from you.
Key Responsibilities:- Design, develop, and maintain applications utilizing LLMs and RAG methodologies.
- Implement and scale AI/ML models using frameworks like Tensor Flow and PyTorch.
- Build and maintain robust front‑end interfaces with React and scalable back‑end systems with Node.js.
- Collaborate closely with cross‑functional teams to translate business requirements into technical solutions.
- Deploy and manage applications on AWS, ensuring reliability, security, and scalability.
- Continuously research and integrate the latest technologies in AI/ML and cloud computing.
- Communicate complex technical concepts clearly, both in writing and verbally, to diverse stakeholders.
- Proven experience with LLMs using APIs, fine‑tuning, RAG, or pre/post training development workflows.
- Strong development skills in JavaScript/Type Script with hands‑on experience in React and Node.js.
- Solid understanding of AI/ML concepts and practical experience with frameworks such as Tensor Flow or PyTorch.
- Expertise in deploying and managing applications on AWS or similar cloud platforms.
- Proficiency in common full stack frameworks and best practices.
- Exceptional written and verbal communication skills, with a focus on clarity and collaboration.
- Demonstrated ability to work effectively on‑site in a collaborative, fast‑paced team environment.
- Experience with additional AI/ML frameworks and cloud‑native technologies.
- Background in Retrieval‑Augmented Generation (RAG) architectures and prompt engineering.
- Track record of delivering production‑grade AI/ML solutions in a full‑stack environment.
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