Senior AI Software Engineer

Credence•Warner Robins, GA

3d•$155,000 - $200,000

About The Position

Credence is seeking a Senior AI Software Engineer to join its AI and Automation practice. This senior technical contributor designs, develops, and deploys advanced AI solutions, including generative AI, LLM-powered applications, and agentic AI systems. The role collaborates with engineering, data, cloud, and stakeholder teams to deliver scalable, secure, mission-focused AI capabilities for federal clients, while helping guide technical direction, improve engineering practices, and mentor other engineers. The position covers AI and LLM solution delivery, end-to-end agentic AI development, software engineering leadership, cross-functional collaboration, cloud enablement and DevSecOps integration, production monitoring and optimization, technical documentation, and mentorship. Work supports federal defense and health missions, with an emphasis on responsible innovation and measurable mission impact.

Requirements

Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field.
At least 7 years of hands-on software engineering experience, including significant experience delivering AI/ML, generative AI, or LLM-powered solutions in production or production-like environments.
Experience building generative AI applications and working with LLMs, tool/function calling, model evaluation, prompt/context engineering, or retrieval-augmented generation.
Experience designing or implementing agentic AI solutions using frameworks or platforms such as Agent2Agent Protocol, Bedrock Agents, Mastra, CrewAI, Strands, AgentCore, LangChain, or LangGraph.
Strong understanding of AI APIs and model platforms such as OpenAI, Anthropic, Gemini, Amazon Bedrock, and Google Vertex AI.
Proficiency in TypeScript and familiarity with Nx, Next.js, Mastra, Vercel AI SDK, Playwright, Jest, and Vite.
Proficiency in Python and familiarity with uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, and Unstructured.
Curiosity and practical experimentation with emerging AI technologies, with a focus on responsible innovation and measurable mission impact.
Familiarity with CI/CD pipelines, including GitLab CI.
Experience with VS Code and AI extensions such as Cline and Claude Code.
Strong communication skills and a client-oriented mindset.
U.S. citizenship and eligibility for a DoD Secret clearance.

Nice To Haves

Exposure to adjacent skillsets 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.
Curiosity and experimentation with the latest AI innovations, oriented toward delivering mission impact.

Responsibilities

Lead the design, development, prototyping, and refinement of AI capabilities using generative AI, LLMs, retrieval patterns, prompt and context engineering, and secure API integrations.
Own end-to-end agentic AI development lifecycles, including model selection, agent design, tool and function calling, orchestration, response synthesis, evaluation, and deployment.
Design maintainable, testable, and scalable systems; conduct code reviews, establish technical patterns, and responsibly use AI-assisted development tools.
Collaborate with data engineers, software engineers, data scientists, cloud engineers, and mission stakeholders to translate needs into operational AI and automation solutions.
Design and automate deployment workflows using Infrastructure as Code, CI/CD pipelines, containers, and cloud-native services.
Monitor deployed AI systems, tune performance, and apply reliability and scalability best practices.
Write clean, well-documented code in accordance with industry and federal guidelines and support reproducible development.
Stay current on AI/ML trends, agentic frameworks, model capabilities, and engineering practices.
Mentor team members and contribute to reusable standards, documentation, and technical design reviews.