Software Engineer

AI Software EngineerJoin a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose.We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges.Credence has an immediate need for an AI Software Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You'll apply foundational AI skills to build and deploy data-driven solutions. Under mentorship from senior AI leaders, you'll drive agentic AI development lifecycles and collaborate across engineering, data, and stakeholder teams to deliver high-impact, cloud-native AI capabilities that advance federal missions.Responsibilities include, but are not limited to the duties listed below:Contribute to projects using generative AI and LLMs, helping to prototype, customize, and refine AI powered capabilities.Support end-to-end AI development: model selection, agent creation, tool calling, response synthesis, and ambient background agents.Maintain strong software engineering principles while leveraging the latest advancements in AI code generation to accelerate your workflows.Work alongside data engineers, software engineers, and data scientists to develop operational agent AI systems.Help automate model deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, and container orchestration tools.Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability.Write clean, well-documented code following industry and federal guidelines; support reproducible development.Stay current on AI/ML trends and tools and actively learn from senior team members through mentorship and technical design reviews.