AI Software Engineer

Credence•Bath Township, OH

1d•$120,000 - $150,000

About The Position

Credence is seeking an AI Software Engineer to join its AI and Automation practice. The engineer will apply foundational AI skills to build and deploy data-driven solutions, contribute to agentic AI development lifecycles, and collaborate with engineering, data, and stakeholder teams to deliver cloud-native AI capabilities supporting federal missions. The role works under mentorship from senior AI leaders. The position involves contributing to generative AI and LLM projects; supporting end-to-end agent development, including model selection, tool calling, and response synthesis; applying sound software engineering practices; helping automate cloud model deployments; and monitoring and optimizing production AI systems. The engineer will produce clean, documented, reproducible code in accordance with industry and federal guidelines, while staying current with AI/ML tools and learning through mentorship and technical design reviews.

Requirements

Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field.
3–7 years of hands-on experience delivering AI/ML solutions.
Experience with generative AI and LLMs, including 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, and Bedrock.
TypeScript proficiency and familiarity with libraries and frameworks such as Nx, NextJS, Mastra, Vercel AI SDK, Playwright, Jest, and Vite.
Python proficiency and familiarity with libraries and frameworks such as uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, and Unstructured.
Experience deploying applications using cloud platforms such as AWS or GCP and container tools such as Docker and Kubernetes.
Familiarity with CI/CD pipelines, including GitLab CI.
Experience with AI coding tools such as Claude Code, Codex, and Antigravity.
Strong communication skills and a client-oriented mindset.
U.S. citizenship and eligibility for a DoD Secret clearance.

Nice To Haves

Curiosity and experimentation with recent AI innovations, with a focus on delivering mission impact.
Exposure to adjacent areas such as data engineering, data science, UI/UX, cloud engineering, and platform engineering.
Experience with Infrastructure as Code tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation for deploying cloud-native applications.
Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks.

Responsibilities

Contribute to projects using generative AI and LLMs by prototyping, customizing, and refining AI-powered capabilities.
Support end-to-end AI development, including model selection, agent creation, tool calling, response synthesis, and ambient background agents.
Apply strong software engineering principles while using AI code-generation tools to accelerate workflows.
Collaborate with data engineers, software engineers, and data scientists to develop operational agent AI systems.
Help automate model deployment workflows using Infrastructure as Code, CI/CD pipelines, and container orchestration tools.
Monitor deployed AI systems, tune performance, and apply reliability and scalability best practices.
Write clean, well-documented code following industry and federal guidelines, and support reproducible development.
Stay current on AI/ML trends and tools and learn from senior team members through mentorship and technical design reviews.