Software AI Engineer at micro1

Job Description

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 TensorFlow 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/TypeScript with hands-on experience in React and Node.js.
Solid understanding of AI/ML concepts and practical experience with frameworks such as TensorFlow 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.