Design and develop software solutions that incorporate AI/ML to improve efficiency and user experience
Collaborate with cross-functional teams to define system architecture, workflows, and technical approaches
Evaluate and implement appropriate solutions, including both LLM-based and traditional methods
Build and maintain data pipelines and AI-enabled applications
Develop and execute testing strategies, including unit and integration testing for AI workflows
Optimize systems for performance, scalability, and cost efficiency
Support deployment of applications in cloud and containerized environments
Document system design, workflows, and technical decisions

Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or a related field
5+ years of experience in AI/ML, data science, or applied machine learning
5+ years of experience in software development, system design, or backend/web applications
Experience working with modern AI tools, including large language models (LLMs), APIs, or locally deployed models
Strong programming experience in Python and building scalable backend services, APIs, or data pipelines
Solid understanding of SQL and relational databases (e.g., PostgreSQL)
Experience with Git, containerization (Docker), and cloud-based or distributed environments
Prior experience supporting government or public sector projects required
Must be authorized to work in the U.S. without current or future sponsorship.

Artificial Intelligence & Machine Learning Engineer

Key skills