AI Software Engineer

Overview

Join 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.

Position Summary

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

• Generative AI & LLM Usage
  Contribute to projects using generative AI and LLMs, helping to prototype, customize, and refine AI powered capabilities.
• Agentic AI System Development
  Support end-to-end AI development: model selection, agent creation, tool calling, response synthesis, and ambient background agents.
• AI Software Engineer
  Maintain strong software engineering principles while leveraging the latest advancements in AI code generation to accelerate your workflows.
• Collaborative Engineering
  Work alongside data engineers, software engineers, and data scientists to develop operational agent AI systems.
• Cloud Enablement
  Help automate model deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, and container orchestration tools.
• Production Monitoring & Optimization
  Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability.
• Technical Rigor & Documentation
  Write clean, well-documented code following industry and federal guidelines; support reproducible development.
• Professional Growth
  Stay current on AI/ML trends and tools and actively learn from senior team members through mentorship and technical design reviews.