Senior AI Software Engineer-TS/SCI clearances (CI poly preferred)

Credence

St. Louis (MO)

On-site

USD 155,000 - 200,000

Full time

3 days ago

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Benefits offered by this job

Health Care Plan

Retirement Plan

Life Insurance

Paid Time Off

Family Leave

Disability

Training & Development

Wellness Resources

Job summary

Credence seeks a Senior AI Software Engineer to design, develop, and deploy advanced AI-driven solutions for federal clients, including generative AI and agentic systems. You will mentor engineers and guide technical direction while collaborating with cross-functional teams to deliver secure, scalable capabilities.

Join Credence to strengthen engineering practices, drive mission-focused AI delivery, and shape the future of AI-enabled federal programs with secure, measurable impact.

Qualifications

TS/SCI clearance required or imminent.
7+ years hands-on software engineering with AI/ML in production.
Experience delivering generative AI and LLM-powered solutions.
Familiarity with agentic AI frameworks and model evaluation.

Responsibilities

Lead design and delivery of generative AI and LLM capabilities.
Own end-to-end agentic AI development lifecycles.
Apply software engineering principles; conduct code reviews.
Collaborate across data, cloud, and mission stakeholders.

Skills

TS/SCI clearance

AI/ML experience

TypeScript

Python

CI/CD

Education

BS/MS in Computer Science or related field

Tools

LangChain

Vercel AI SDK

Nx/Next.js

Playwright

Job description

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 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 include, but are not limited to the duties listed below

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

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 include, but are not limited to the duties listed below

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

TS/SCI clearancesRequired (CI poly preferred).
Bachelor's orMaster's in Computer Science, AI/ML, ora relatedfield
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
Pythonproficiencyand familiarity with librariesand 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 extensionssuch asCline and Claude Code
Strong communicationskills 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 toadjacent skillsets such asdata engineering, data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem
Experience withIaCtoolssuch asTerraform,Open Tofu,AWS CDK,orCloudFormationto 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'llbe 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