AI Developer - Remote

BluePath Labs•Washington, DC

4d•$110,000 - $160,000•Remote

About The Position

BluePath Labs is seeking an AI Developer to support Federal Government clients. This role involves designing, building, and supporting artificial intelligence and machine learning solutions to address complex business and mission challenges. The developer will create production-ready AI applications, integrate models into cloud environments, collaborate with stakeholders, and continuously improve system performance, reliability, and scalability. The position covers the full AI lifecycle, from requirements analysis and solution design to deployment, monitoring, and maintenance. This position is contingent upon contract award.

Requirements

U.S. Citizen.
5-10 years of professional experience designing, developing, and supporting software applications or data-driven solutions.
Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related technical field.
Strong proficiency in one or more programming languages such as Python, JavaScript, Java, or C#.
Experience developing, testing, and deploying cloud-based applications in environments such as Microsoft Azure, AWS, or Google Cloud.
Familiarity with machine learning concepts, model development workflows, and modern AI frameworks.
Experience working with source control systems and collaborative software development practices.
Knowledge of software delivery practices, including automated testing, release management, and deployment automation.
Ability to troubleshoot complex technical issues and optimize application performance in production environments.
Strong analytical, communication, and problem-solving skills.
Ability to work effectively within cross-functional Agile teams.

Nice To Haves

Experience with combating fraud
Experience with ServiceNow

Responsibilities

Design, develop, test, and deploy AI and machine learning solutions.
Build and integrate AI-powered applications, APIs, and services into existing systems.
Develop, train, evaluate, and optimize machine learning models.
Collaborate with software engineers, data scientists, and business stakeholders to translate requirements into technical solutions.
Prepare, analyze, and transform structured and unstructured data for model development.
Implement MLOps and DevOps practices to support deployment, monitoring, and continuous improvement.
Develop and maintain technical documentation, architecture diagrams, and operational procedures.
Support cloud-native AI solutions hosted in platforms such as Azure, AWS, or other approved environments.
Troubleshoot application, infrastructure, and model performance issues and implement corrective actions.
Stay current with emerging AI technologies, frameworks, and industry best practices.