AI Software Engineer

Credence; Tysons (VA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Health Care Plan (Medical, Dental &amp

Retirement Plan (401k, IRA)

Life Insurance (Basic, Voluntary &

Paid Time Off (Vacation, Sick & )

Family Leave (Maternity, Paternity)

Short Term & Long Term Disability

Training & Development

Wellness Resources

Job summary

Credence is hiring an AI Software Engineer to join our AI and Automation practice. You will contribute to data-driven AI capabilities, work under senior leaders, and collaborate across engineering, data, and stakeholder teams to deliver cloud-native solutions for federal missions.

You'll prototype, deploy, and monitor AI systems, while maintaining strong software engineering practices and staying current with AI trends through mentorship and design reviews.

Qualifications

• Bachelor's or Master's in Computer Science, AI/ML, or related field
• 3-7 years of hands-on AI/ML solution delivery
• Experience with generative AI, LLMs, and 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/frameworks (Nx, NextJS, Mastra, Vercel AI SDK, Playwright, Jest, Vite)
• Python proficiency and familiarity with libraries/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

Responsibilities

• Generative AI & LLM Usage: prototype, customize, and refine AI capabilities
• Agentic AI System Development: end-to-end model selection, tool calls, and synthesis
• AI Software Engineer: apply AI code generation to accelerate workflows
• Collaborative Engineering: work with data/software engineers and data scientists
• Cloud Enablement: automate deployment workflows using IaC, CI/CD, containers
• Production Monitoring & Optimization: monitor, tune performance, ensure reliability
• Technical Rigor & Documentation: write clean, well-documented code
• Professional Growth: stay current on AI trends and participate in design reviews

Skills

Typescript

Python

AWS

GCP

Docker

Kubernetes

NextJS

LangChain

Pydantic

FastAPI

CrewAI

OpenAI API

Anthropic API

Gemini API

Bedrock API

CI/CD

GitLab CI

Terraform

Vercel AI SDK

Playwright

Jest

Vite

Education

Bachelor's degree in Computer Science/AI/ML or related field

Master's degree in Computer Science/AI/ML or related field

Tools

Nx

NextJS

Mastra

Vercel AI SDK

Playwright

Jest

Vite

uv

Pydantic

FastAPI

LangChain

LangGraph

Unstructured

Docker

Kubernetes

Terraform

OpenAI

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 cyber‑security, 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