Senior AI Software Engineer

Credence

The Prairies at Wright Field (OH)

On-site

USD 155,000 - 200,000

Full time

6 days ago

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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 a Senior AI Software Engineer to join our AI and Automation practice at Wright-Patterson AFB, Ohio. You will design, develop, and deploy advanced AI-driven solutions, including generative AI and agentic systems, collaborating with cross-functional teams to deliver secure, scalable capabilities for federal clients.

You will guide technical direction, mentor engineers, and influence engineering practices while ensuring mission-focused outcomes and responsible innovation in

Qualifications

7+ years of hands-on software engineering experience with AI/ML/LLM in production-like environments.
Experience building generative AI applications and using LLMs with tool/function calling.
Experience designing agentic AI solutions and using frameworks/platforms such as Agent2Agent Protocol, Bedrock Agents, Mastra, CrewAI, Strands, AgentCore, LangChain, LangGraph.
Strong understanding of AI APIs and platforms (OpenAI, Anthropic, Gemini, Bedrock, Vertex AI).
Proficiency in TypeScript and libraries like Nx, Next.js, Mastra, Vercel AI SDK, Playwright, Jest, Vite.
Python proficiency with libraries (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured).
CI/CD (GitLab CI) familiarity; VS Code and Claude Code extensions.
U.S. Citizenship with eligibility for DoD Secret clearance.

Responsibilities

Lead design, development, prototyping, and refinement of AI-powered capabilities (generative AI, LLMs, retrieval patterns, prompt engineering).
Own end-to-end agentic AI lifecycles: model selection, agent design, tool calling, orchestration, evaluation, deployment.
Apply software engineering principles to design maintainable, testable, scalable systems; conduct code reviews and establish patterns.
Collaborate with data engineers, software engineers, data scientists, cloud engineers, and mission stakeholders.
Design and automate deployment workflows using IaC, CI/CD, containers, and cloud-native services.
Monitor post-deployment AI systems, perform tuning, ensure reliability and scalability.
Write clean, well-documented code following federal guidelines; enable reproducible development.
Mentor team members and contribute to reusable standards, documentation, and design reviews.

Skills

AI/ML development

TypeScript

Python

CI/CD

Software architecture

Mentoring

Communication skills

Problem solving

Security mindset

Education

Bachelor's or Master's in Computer Science/AI/ML

Tools

Next.js

Mastra

Vercel AI SDK

Playwright

Jest

Vite

LangChain

LangGraph

CrewAI

Bedrock Agents

LangGraph

VS Code

Claude Code

Job description

Senior AI Software Engineer

Credence

Location: Wright-Patterson Air Force Base, Ohio, United States

Workplace: On-site

Department: DOW AI/Tech

Job Type: Full-time

Description

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.

Position Summary

Credence has an immediate need for a Senior AI Software Engineer to join our growing AI and Automation practice. In this role, you will serve as a senior technical contributor responsible for designing, developing, and deploying advanced AI-driven solutions, including generative AI, LLM-powered applications, and agentic AI systems. You will collaborate with cross-functional engineering, data, cloud, and stakeholder teams to deliver scalable, secure, and mission-focused AI capabilities for federal clients, while helping guide technical direction, strengthen engineering practices, and mentor other engineers.

Responsibilities

Generative AI & LLM Solution Delivery — Lead the design, development, prototyping, and refinement of AI-powered capabilities using generative AI, large language models, retrieval patterns, prompt/context engineering, and secure API integrations.
Agentic AI System Development — Own end-to-end agentic AI development lifecycles, including model selection, agent design, tool/function calling, orchestration, response synthesis, evaluation, and deployment of reliable AI agents.
Senior Software Engineering Leadership — Apply strong software engineering principles to design maintainable, testable, and scalable systems; conduct code reviews, establish technical patterns, and leverage AI-assisted development tools responsibly to accelerate delivery.
Cross-Functional Technical Collaboration — Partner with data engineers, software engineers, data scientists, cloud engineers, and mission stakeholders to translate business and mission needs into operational AI and automation solutions.
Cloud Enablement & DevSecOps Integration — Design and automate deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, containers, and cloud-native services to support secure, repeatable, and scalable AI delivery.
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.
Technical Mentorship & Continuous Improvement — Stay current on emerging AI/ML trends, agentic frameworks, model capabilities, and engineering practices while mentoring team members and contributing to reusable standards, documentation, and technical design reviews.

Requirements

What You Bring

Bachelor's or Master's in Computer Science, AI/ML, or a related field.
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, working with LLMs, implementing tool/function calling, and applying model evaluation, prompt/context engineering, or retrieval-augmented generation approaches.
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 leading AI APIs and model platforms such as OpenAI, Anthropic, Gemini, Amazon Bedrock, and Google Vertex AI.
Proficiency in TypeScript and familiarity with key libraries and frameworks such as Nx, Next.js, Mastra, Vercel AI SDK, Playwright, Jest, and Vite.
Python proficiency and familiarity with libraries and frameworks (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured).
Demonstrated curiosity and practical experimentation with emerging AI technologies, with a strong focus on responsible innovation and measurable mission impact.
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.
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 Technical Leadership — Work with technical leaders, shape agentic AI delivery practices, and mentor team members while continuing to deepen your own expertise in advanced AI engineering.
Culture of Empowerment — You'll be part of a team that values innovation, trust, collaboration, and mission success.

Salary Range: $155,000 - $200,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications.

Benefits