Gen AI Developer
CACI International IncAbout the role
The Opportunity:
CACI is currently looking for a Gen AI Developer to join our BEAGLE (Border Enforcement Applications for Government Leading-Edge Information Technology) Agile Solution Factory (ASF) Team supporting Customs and Border Control (CBP) client located in Northern Virginia! Join this passionate team of industry-leading individuals supporting the best practices in Agile Software Development for the Department of Homeland Security (DHS).
As a member of the BEAGLE ASF Team, you will support the men and women charged with safeguarding the American people and enhancing the Nation’s safety, security, and prosperity. CBP agents and officers are on the front lines, every day, protecting our national security by combining customs, immigration, border security, and agricultural protection into one coordinated and supportive activity.
ASF programs thrive in a culture of innovation and are constantly seeking individuals who can bring creative ideas to solve complex problems, both technical and procedural at the team and portfolio levels.
You will excel at developing innovative software solutions as part of a technically diverse and geographically disbursed team. A strong passion for AI technologies and experience with agile delivery and deploying software in short sprints.
Responsibilities:
Design, develop, and implement custom software solutions for a variety of AI/ML-related pilot projects and use cases.
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
Staying current with the latest advancements in AI technologies, tools, and best practices.
Design systems that can scale horizontally and handle high availability
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.
Qualifications:
Required
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
year check for illegal drug use
year check for misconduct such as theft or fraud
BA/BS Degree. Will consider experience in lieu of degree.
7 or more years of full stack software development experience or related role which includes experience with front-end frameworks such as React / Angular, and possess a comprehensive knowledge of both SQL and NoSQL databases
Ability to analyze technically complex problems and develop and implement new and innovative solutions in a fast-moving and fluid software prototyping development environment.
Expertise in multiple software developer languages including, but not limited to: Python, Java, JavaScript, and TypeScript
Demonstrated experience with cloud services and platforms (AWS and Google) which includes an understanding of how to deploy, manage, and scale applications
Familiarity with cloud architecture
Knowledge of virtual networks, load balancers, and content delivery networks (CDNs)
Experience working with DevSecOps.
Ability to develop and work with APIs including familiarity with RESTful services, knowledge of authentication methods, familiarity with data formats, and skilled in handling API errors.
Ability to understand API development and management.
Work hybrid schedule with an on-site requirement in Ashburn, VA
Desired:
Technical certifications such as AWS Certified Developer and AWS AI Certified Practitioner
Experience with DevOps (CI/CD) solutions such as GitLab, etc.
Experience with AI/ML solutions or complex solutions for predictive analytics, such as Google Vertex AI and AWS Bedrock
Experience working in a geographically dispersed, remote team.
Understanding of Data Science principles and best practices.<
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