Full Stack Software Engineer - Human Centered AI

Charles River Analytics, a GRVTY company, creates solutions and technology to tackle the world’s most challenging problems. Our team of technological entrepreneurs works together to push at the forefront of enhanced AI, robotics, smart sensing, and human-centered computing. The resulting research and development help to continuously advance government programs and discover new possibilities in the commercial marketplace. At Charles River, we take great pride in our success at attracting and retaining the most talented and creative problem-solvers in our field. Now as part of GRVTY, we offer the same trusted capabilities with increased organizational depth and expanded capacity across mission-critical national security domains. Are you ready to accelerate our mission-focused innovations? We’d love to hear from you!

What you will do

• Contribute to engineering teams (code development, code reviews, task understanding and refinement, process improvement, etc.) across projects that range in scope and complexity
• Work with Principal Investigators to understand and prioritize technical requirements and track them effectively in GitLab
• Understand and apply the entire software development lifecycle (requirements management, development, merge requests, testing, deployment) to projects
• Develop responsive front and back end, full stack applications, whether that be with Python, Tensorflow, JavaScript, Unity, or other relevant frameworks
• Participate in daily stand-ups and sprint planning sessions to communicate progress, identify blockers, and collaborate with cross-functional team members in an Agile/Scrum environment
• Document technical implementations and API specifications using tools like Docusaurus and Markdown to support knowledge sharing and maintain clear communication with team members and stakeholders

What you’ll need:

• Bachelor's degree in computer science or a related field
• Experience in machine learning and/or artificial intelligence, with a focus on AI agent reinforcement learning 
• 5+ years of experience in full-stack development, utilizing Python, TensorFlow, Compilers (DSL), front-end development languages like React, JavaScript, and iOS using Swift, etc
• Experience with deployment engineering (e.g., build systems and containerization), Docker, Kubernetes, cloud-deployment (e.g., AWS gov cloud) or related 
• Relevant research experience using LLVM-based code-generation pipelines
• Experience working with customers to define analytical questions, decision contexts, assumptions, measures, constraints, and experimental designs
• Familiarity working in a research and development capacity with past publications and/or early concept prototype examples. Experience working in a lab preferred 
• U.S. Citizen with the ability to obtain a U.S. security clearance 

Why Charles River?

Charles River Analytics thrives on collaboration and values each team member. We offer competitive compensation plus bonus and retirement contribution, with an attractive benefits package including 100% employer-paid medical and dental insurance, as well as vision, life, and disability insurance, paid maternity/paternity leave, tuition reimbursement, monthly gym allowance, free parking, generous paid time off, and a casual environment. We offer tremendous flexibility and value work-life balance. We are also accessible by public transportation. Charles River became an employee-owned company in 2012, to set the stage for the next-generation of innovation, service, and growth in R&D. As we entered 2026, we joined forces with GRVTY, gaining the scale and capacity to transition, field, and sustain our innovations faster and more effectively than ever before