17 days ago
Tysons, VA, USAMid Level / Senior

Base Salary

$120k - $150k/yr

Responsibilities

  • Prototype, customize, and refine generative AI and LLM-powered capabilities.
  • Develop agentic AI systems involving model selection, agent creation, tool calling, response synthesis, and ambient background agents.
  • Apply software engineering principles and AI code-generation tools to build operational AI systems.
  • Collaborate with data engineers, software engineers, data scientists, and stakeholders.
  • Automate model deployment workflows using infrastructure-as-code, CI/CD pipelines, and container orchestration tools.
  • Monitor deployed AI systems, tune performance, and improve reliability and scalability.
  • Write clean, documented code in accordance with industry and federal guidelines.
  • Stay current on AI and machine learning developments and participate in mentorship and technical design reviews.

Requirements

  • Bachelor’s or master’s degree in Computer Science, AI/ML, or a related field.
  • 3–7 years of hands-on experience delivering AI/ML solutions.
  • Experience with generative AI, LLMs, and tool calls using MCP.
  • Experience with agentic frameworks such as Agent2Agent Protocol, Mastra, Strands, AgentCore, and/or Gemini Agent Platform.
  • Deep understanding of AI APIs including OpenAI, Anthropic, Gemini, and Bedrock.
  • TypeScript proficiency and familiarity with Nx, NextJS, Mastra, Vercel AI SDK, Playwright, Jest, and Vite.
  • Python proficiency and familiarity with uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, and Unstructured.
  • Experience deploying applications with AWS, GCP, Docker, and Kubernetes.
  • Familiarity with GitLab CI and AI coding tools including Claude Code, Codex, and Antigravity.
  • Strong communication skills and a client-oriented mindset.
  • U.S. citizenship and eligibility for a DoD Secret clearance.
  • Preferred qualifications include exposure to data engineering, data science, UI/UX, cloud engineering, and platform engineering; experience with Terraform, Open Tofu, AWS CDK, or CloudFormation; and knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks.

Benefits

  • Health care plan with medical, dental, and vision coverage.
  • Retirement plan with 401k and IRA options.
  • Basic, voluntary, and AD&D life insurance.
  • Paid vacation, sick leave, and public holidays.
  • Maternity and paternity family leave.
  • Short-term and long-term disability coverage.
  • Training and development opportunities.
  • Wellness resources.
  • Full-time onsite position in Tysons, United States.
Credence Management Solutions, LLC

About Credence Management Solutions, LLC

1,001-5,000 employees

Credence Management Solutions, LLC provides IT consulting, engineering, and mission support to U.S. federal agencies, with emphasis on defense, intelligence, health, and humanitarian programs. It builds and operates secure AI, cloud, cyber, and DevSecOps solutions and delivers program management and systems engineering under government contracts. The privately held firm is headquartered in McLean, Virginia, and supports customers such as the U.S. Air Force at Wright-Patterson Air Force Base.

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