AI ML Engineer

CDIT; Ashburn (GA); On-site; USD 120,000 - 160,000; Full time

Job summary

Zohorecruit is seeking a Software Engineer in Ashburn, VA to design, develop, and implement custom software solutions for AI/ML pilot projects, including Google Gemini AI. You will build and integrate APIs, manage SQL/NoSQL databases, and contribute to prototyping teams delivering working software on tight timelines.

The role requires full-stack capabilities (Angular frontend and server-side development), strong problem-solving skills, and collaboration with Data Science teams to deploy AI/ML or

Qualifications

• U.S. Citizenship required, ability to pass CBP background investigation
• Experience designing, developing, and implementing software in fast-moving prototyping environments
• Proficiency with front-end and back-end web app development
• Ability to work with AI/ML data science teams to integrate apps with AI/ML or BI solutions

Responsibilities

• Design, develop, and implement custom software solutions for AI/ML pilot projects including Google Gemini AI
• Develop and work with APIs (RESTful) and authentication methods
• Use SQL and NoSQL databases and integrate them within applications, ensuring security best practices
• Collaborate on prototyping teams to deliver working software on short timelines
• Analyze complex problems and craft innovative technology solutions
• Participate actively in agile delivery phases and ceremonies (release planning, sprints, demos, retrospectives)

Skills

Full Stack development

Angular frontend

Backend development

Agile delivery

Independent contributor

Education

BA/BS and 7 years’ experience in a related field, or equivalent

AWS Certified Developer Associate

Job description

Ashburn, United States | Posted on 10/09/2026

• Design, develop, and implement custom software solutions for a variety of AI/ML-related pilot projects and use cases including Google Gemini AI.
• D evelop and work with APIs including RESTful services, authentication methods, data formats, and handling API errors.
• Use SQL and NoSQL database including to evaluate and choose the appropriate database type based on the application requirements;
• I ntegrat e SQL and NoSQL databases within the same application, when appropriate; and apply advanced understanding of security best practices for both SQL and NoSQL databases.
• Act as a member of one or more prototyping teams supporting teammates and collaborating to deliver working software applications on short timelines.
• Analyze complex project-related problems and creating innovative solutions involving technology, methodology, tools, and solution components.
• Actively participate in agile delivery phases and ceremonies including release and sprint planning, artifact creation, sprint testing, demonstrations, and retrospectives

You Will Bring These Qualifications:

• Must be a U.S. Citizen with the ability to pass CBP background investigation, criteria include, but not limited to:
• 3-year check for felony convictions
• 1-year check for illegal drug use
• 1-year check for misconduct such as theft or fraud
• BA/BS and 7 years’ experience in a related field, or equivalent
• Ability to analyze technically complex problems and develop and implement new and innovative solutions in a fast-moving and fluid software prototyping development environment.
• Full Stack development experience including proficiency in both front-end ( Angular) and back-end development, ability to handle all aspects of a web application from designing the user interface to managing the server and database.
• Ability to work with Data Scientist teams to integrate applications with AI/ML, Big Data, or BI solutions.
• Ability to work independently on a complex task with little direction and management oversight.

Desired Qualifications:

• Experience working with live data and video streams.
• Technical certifications such as AWS Certified Developer Associate.
• Experience with DevOps (CICD) solutions such as GitLab .
• Experience with AI/ML solutions or complex solutions for predictive analytics.
• Experience working in a geographically dispersed, remote team.
• Understanding of Data Science principles and best practices.