AI Software Engineer

Credence; Patterson Township (OH); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Health plans

Retirement plan

Life Insurance

Paid time off

Family leave

Wellness resources

Training & development

Job summary

Credence has an immediate need for an AI Software Engineer to join our AI and Automation practice. You will be a technical anchor, applying foundational AI skills to build and deploy data-driven solutions.

Under mentorship from senior AI leaders, you will drive agentic AI development lifecycles and collaborate across engineering, data, and stakeholder teams to deliver cloud-native AI capabilities that advance federal missions.

Qualifications

• 3-7 years of hands-on experience delivering AI/ML solutions
• Experience with 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 (OpenAI, Anthropic, Gemini, Bedrock)
• Proficiency in Typescript and Python; familiarity with Nx, NextJS, Vercel AI SDK, Playwright, Jest, Vite
• Experience deploying cloud-native apps using 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

• Contribute to generative AI and LLM projects, prototype, customize and refine AI capabilities
• Support end-to-end AI development: model selection, agent creation, tool calling, response synthesis
• Maintain robust software engineering practices while leveraging AI code generation
• Collaborate with data engineers, software engineers, and data scientists on operational AI systems
• Help automate model deployment workflows using IaC, CI/CD, and container orchestration
• Monitor AI systems post-deployment, tune performance, ensure reliability and scalability
• Write clean, well-documented code following industry and federal guidelines
• Pursue professional growth through mentorship and design reviews

Skills

Strong communication skills

Client-oriented mindset

Team collaboration

Education

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

Tools

AWS

GCP

Docker

Kubernetes

Terraform/OpenTF/CloudFormation

GitLab CI

OpenAI/Anthropic/Gemini APIs

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 anAI Software Engineerto 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
  
  

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 anAI Software Engineerto 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 yearsof 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