AI Software Engineer

Credence Management Solutions, LLC

Tysons (VA)

On-site

USD 120,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Health Plan

401k Retirement Plan

Life Insurance

Paid Time Off

Family Leave

Disability Coverage

Training & Development

Wellness Resources

Job summary

Credence Management Solutions, LLC seeks an AI Software Engineer to anchor our AI/Automation practice. You will build data-driven AI capabilities and deploy them in cloud-native environments for federal missions.

Under mentorship, you will drive agentic AI lifecycles, collaborate with engineers and data scientists, and contribute to scalable, secure AI solutions with emphasis on reliability and mission impact.

Qualifications

Degree(s) in CS/AI/ML or related field.
3-7 years of hands-on AI/ML solutions delivery.
Experience with generative AI, LLMs, and tool calls.

Responsibilities

Generative AI & LLM usage on projects.
Agentic AI system development and tool calls.
Maintain software engineering principles in AI workflows.
Collaborate with data engineers/scientists to build agent AI systems.
Automate model deployment workflows with IaC and CI/CD.
Monitor AI systems and optimize performance.
Write clean, well-documented code per federal guidelines.
Stay current on AI/ML trends and mentor others.

Skills

3-7 years experience

Communication skills

Client-oriented mindset

Education

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

Tools

TypeScript

Python

OpenAI APIs

AWS

GCP

Docker

Kubernetes

GitLab CI

LangChain

Mastra

Vercel AI SDK

Playwright

Jest

Pydantic

FastAPI

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 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.

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.