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AI Software Engineer

Published · Updated

$120,000–$150,000Tysons, VA

Build and deploy cloud-native, agentic AI capabilities for federal missions as part of Credence’s AI and Automation practice.

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At a glance

Posted base pay

$120K–$150KLevel with the median

The work

Builds what the customer runs

Balance

  1. Mostly building
  2. Mixed
  3. Mostly pre-sales or support

Project stages

  1. Pre-sales (not covered)
  2. Proof of concept
  3. Implementation
  4. Operations
Coding
Writes production code
Builds for
External customers
Level
Junior
Role
Individual contributor

What they ask for

Experience

  • 3+ yearshands-on experience delivering AI/ML solutions
  • 7+ yearshands-on experience delivering AI/ML solutions

Tools

  • OpenAI
  • Anthropic
  • Gemini
  • Amazon Bedrock
  • Mastra
  • LangGraph
  • FastAPI
  • Kubernetes
  • Terraform
  • GitLab CI

Less common in FDE jobs

  • Responsibility level: Junior1%
  • Company size: About 1,001–5,000 people17%
  • Company stage: Later private32%
  • Covers proofs of concept38%

Share of US FDE postings that state each fact.

The job description from Credence Management Solutions

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 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

View posting at Credence Management Solutions

About Credence Management Solutions

Privately held federal technology contractor delivering AI, cloud, cybersecurity, digital engineering, and mission support to defense, intelligence, health, and civilian agencies.

Private Late · 2000–5000 people

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Pay and conditions

Posted pay
$120,000–$150,000
Pay details

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.

Location
Tysons, VA
Employment type
Full-time
Experience requirements
  • 3+ years: hands-on experience delivering AI/ML solutions (required)
  • 7+ years: hands-on experience delivering AI/ML solutions (required)