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Software AI Engineer at micro

Job in Tempe, Maricopa County, Arizona, 85280, USA
Listing for: Feedinkoo
Full Time position
Listed on 2026-06-04
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Software AI Engineer at micro1

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.
Required Skills and Qualifications:
  • 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.
Preferred Qualifications:
  • 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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