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. Requirements What You Bring - Bachelor’s or Master’s in Computer Science, AI/ML, or a related field. - 3-7 years of hands-on experience delivering AI/ML solutions. - Experience in generative AI, working with LLMs, and adding tool calls (MCP) - Experience with agentic frameworks such as Agent2Agent Protocol, Mastra, Strands, AgentCore, and/or Gemini Agent Platform. - Deep understanding of AI APIs such as OpenAI, Anthropic, Gemini, Bedrock - Typescript proficiency and familiarity with key libraries and frameworks (Nx, NextJS, Mastra, Vercel AI SDK, Playwright, Jest, Vite) - Python proficiency and familiarity with libraries and frameworks (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). - Experience deploying applications using cloud platforms (AWS, GCP) and container tools (Docker, Kubernetes). - Familiarity with CI/CD pipelines (GitLab CI) - Experience with AI coding tools (Claude Code, Codex, Antigravity). - Strong communication skills and client-oriented mindset. - U.S. Citizenship with eligibility for DoD Secret clearance. Preferred - Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact. - Exposure to adjacent skillsets such as data engineering, data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem. - Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications. - Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks. Why This Role Matters - Real-World Impact — Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being. - Growth-Oriented Environment — Learn from technical leaders, innovate within Agentic AI, and mentor those around you in AI best practices. - Culture of Empowerment — You’ll be part of a team that values innovation, trust, collaboration, and mission success. Salary Range: $120,000 - $150,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits - Health Care Plan (Medical, Dental & Vision) - Retirement Plan (401k, IRA) - Life Insurance (Basic, Voluntary & AD&D) - Paid Time Off (Vacation, Sick & Public Holidays) - Family Leave (Maternity, Paternity) - Short Term & Long Term Disability - Training & Development - Wellness Resources