AI/ML Engineer — Full-Stack for Generative AI

AtlasAdvancement, Inc.

Washington, Baltimore (District of Columbia, MD)

On-site

USD 120,000 - 180,000

Full time

28 hours ago
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Job summary

AtlasAdvancement, Inc. seeks an experienced AI/ML Engineer to develop full-stack applications for federal technology initiatives. You will work across generative AI, APIs, databases, and modern web technologies in an Agile environment.

Responsibilities include designing custom software for AI/ML pilots, building RESTful APIs, evaluating SQL/NoSQL databases, and collaborating with data science teams to deliver secure, scalable solutions on accelerated timelines.

Qualifications

  • U.S. Citizenship and ability to complete the federal background investigation.
  • BA/BS and 7 years of related experience, or equivalent.
  • Ability to develop innovative solutions in a fast-paced prototyping environment.
  • Full-stack development with Angular frontend and backend skills.
  • Experience collaborating with Data Science teams to integrate AI/ML solutions.

Responsibilities

  • Design and implement custom software applications supporting AI/ML pilot programs.
  • Build and integrate RESTful APIs with authentication and data formats.
  • Evaluate SQL and NoSQL databases and select appropriate technologies.
  • Integrate relational and NoSQL databases with security best practices.
  • Collaborate with prototyping teams to deliver working software on accelerated timelines.
  • Address complex technical challenges with innovative approaches.
  • Participate in Agile development lifecycle including planning, testing, and demos.

Skills

Full-stack dev
Angular frontend
API design
Database design
Agile teamwork
Prototyping

Education

BA/BS degree

Tools

GitLab
AWS

Job description

AtlasAdvancement, Inc. seeks an experienced AI/ML Engineer to develop full-stack applications for federal technology initiatives. You will work across generative AI, APIs, databases, and modern web technologies in an Agile environment.

Responsibilities include designing custom software for AI/ML pilots, building RESTful APIs, evaluating SQL/NoSQL databases, and collaborating with data science teams to deliver secure, scalable solutions on accelerated timelines.

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