About The Role

# AI Software Engineer

> Credence · Tysons, United States (Hybrid) · Full-time · Posted 2026-08-25

**Workplace:** hybrid

**Department:** Horizontal

## 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.
**1–5 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, 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