Mid-Level AI Software Engineer

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 aMid-Level AI 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 aMid-Level AI 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.

• U.S. Citizenship with eligibility for DoD Secret clearance.
• Bachelor's or Master's in Computer Science, AI/ML, or a related field.
• 3-5 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, Bedrock Agents, Mastra, CrewAI, Strands, or AgentCore.
• Deep understanding of leading AI APIs such as OpenAI, Anthropic, Gemini, Bedrock, Vertex
• Proficiency in Typescript 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) and container tools (Docker, Kubernetes).
• Familiarity with CI/CD pipelines (GitLab CI)
• Experience with VS Code and AI extensions such as Cline and Claude Code.
• Strong communication skills and client-oriented mindset.

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.

• 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