Generative AI Software Engineer — Mission-Critical Cloud

Credence; The Prairies at Wright Field (OH); 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 seeking an AI Software Engineer to join its AI and Automation practice in the United States. You will act as a technical anchor, applying foundational AI skills to build and deploy data-driven solutions while collaborating with engineering, data, and stakeholder teams to deliver cloud-native AI capabilities that advance federal missions.

Under mentorship from senior AI leaders, you’ll drive lifecycles of agentic AI development, contribute to end-to-end AI system development, and

Qualifications

• 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 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 and refine AI-powered capabilities.
• Agentic AI system development: model selection, tool calls, ambient agents.
• AI software engineering: apply AI code generation to accelerate workflows.
• Collaborative engineering: work with data engineers, software engineers, and data scientists.
• Cloud enablement: automate model deployment with IaC, CI/CD, container orchestration.
• Production monitoring & optimization: tune performance for reliability and scale.
• Technical rigor & documentation: write clean, documented code following guidelines.
• Professional growth: stay current on AI trends and participate in design reviews.

Skills

AI/ML development

LLMs & generative AI

Agentic AI frameworks

OpenAI/Anthropic/Gemini APIs

TypeScript

Python

Cloud deployments

Docker & Kubernetes

CI/CD pipelines

Communication skills

US Citizenship & DoD clearance

Education

Bachelor’s or Master’s in Computer Science/AI

Tools

Nx

NextJS

Mastra

Vercel AI SDK

Playwright

Jest

Vite

Pydantic

FastAPI

LangChain

LangGraph

Unstructured

Docker

Kubernetes

AWS

GCP

GitLab CI

Claude Code

Codex

Antigravity

Job description

Credence is seeking an AI Software Engineer to join its AI and Automation practice in the United States. You will act as a technical anchor, applying foundational AI skills to build and deploy data-driven solutions while collaborating with engineering, data, and stakeholder teams to deliver cloud-native AI capabilities that advance federal missions.

Under mentorship from senior AI leaders, you’ll drive lifecycles of agentic AI development, contribute to end-to-end AI system development, and