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Mid-Level AI Software Engineer with Security Clearance

Credence Management SolutionsMcLean, VA🇺🇸United StatesPosted 13 Jul 2026

Quick Overview

Salary
$115k - $155k/yr
Work Type
Hybrid
Schedule
Employee
Level
Mid Senior

Job Description

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. Salary Range: $115,000 - $155,000 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

Skills

Docker
FastAPI
AWS
CDK
CloudFormation
Generative AI
GitLab CI
Jest
Kubernetes
LLM
Playwright
Python
Terraform
TypeScript
Vercel
Vite

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