Mid-Level AI Software Engineer

Overview Join a team where innovation meets mission. A variety of soft skills and experience may be required for the following role Please ensure you check the overview below carefully. 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 a Mid-Level 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 U.S. Citizenship with eligibility for DoD Secret clearance. Bachelor’s or Master’s in Computer Science, AI/ML, or a related field. 3–5 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, Bedrock Agents, Mastra, CrewAI, Strands, or AgentCore. Deep understanding of leading AI APIs such as OpenAI, Anthropic, Gemini, Bedrock, Vertex Proficiency in Typescript 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) and container tools (Docker, Kubernetes). Familiarity with CI/CD pipelines (GitLab CI) Experience with VS Code and AI extensions such as Cline and Claude Code. Strong communication skills and client-oriented mindset. 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. xmvmafu Culture of Empowerment — You’ll be part of a team that values innovation, trust, collaboration, and mission success. 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