About this opportunity
Credence lists this AI Software Engineer opportunity in tysons, Virginia. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.