Software AI Engineer

6 days ago

Washington, Washington, D.C., United States micro1 Full time

Job Title:
Software AI Engineer

Job Type:
Contractual

Location:
On-site, Washington, District of Columbia, United States

Job Summary:

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
  • 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
  • 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.

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