AI/ML Engineer

AtlasAdvancement, Inc.; Washington, Baltimore (District of Columbia, MD); On-site; USD 120,000 - 180,000; Full time

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

Our client is seeking an experienced AI/ML Engineer to develop full-stack applications supporting federal technology initiatives. This role will work across generative AI, APIs, databases, and modern web technologies while collaborating with data science and prototyping teams to deliver secure, scalable software solutions in an Agile environment.

Responsibilities:

• Design and implement custom software applications supporting AI/ML pilot programs and use cases, including generative AI technologies such as Google Gemini.
• Build and integrate APIs, including RESTful services, authentication, data formats, and error handling.
• Evaluate SQL and NoSQL database technologies and select appropriate solutions based on application requirements.
• Integrate relational and NoSQL databases within applications when appropriate while applying database security best practices.
• Collaborate with prototyping teams to develop and deliver working software solutions on accelerated timelines.
• Solve complex technical challenges by developing innovative approaches using appropriate technologies, methodologies, tools, and solution components.
• Participate throughout the Agile development lifecycle, including release and sprint planning, testing, demonstrations, and retrospectives.

Required Qualifications:

• U.S. Citizenship and ability to successfully complete the required federal background investigation.
• BA/BS and 7 years of related experience, or equivalent.
• Ability to evaluate complex technical problems and develop innovative solutions in a fast-paced software prototyping environment.
• Full-stack development experience with proficiency in front-end development using Angular as well as back-end development, including user interfaces, servers, and databases.
• Experience collaborating with Data Science teams to integrate applications with AI/ML, Big Data, or Business Intelligence solutions.
• Ability to independently manage complex technical assignments with limited direction or oversight.

Preferred Qualifications:

• Experience working with live data or video streams.
• Technical certifications such as AWS Certified Developer Associate.
• Experience with DevOps and CI/CD platforms such as GitLab.
• Experience developing AI/ML or advanced predictive analytics solutions.
• Experience working with geographically dispersed or remote teams.
• Knowledge of Data Science principles and best practices.