Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Automation, Best Practices, Cloud Applications, Cloud Computing, Communication Skills, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Customer Relations, Data Science, DoD Secret Clearance, Docker, Ecosystems, Health Plan, Internet Security, MCP - Microsoft Certified Professional, Mentoring, Operations Planning, Performance Tuning/Optimization, Product Lifecycle, Production Control, Prototyping, Python Programming/Scripting Language, Regulations, Software Administration, Software Engineering, Team Player, Technical/Engineering Design, United States Citizen, User Interface/Experience (UI/UX)
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 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.
- 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