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Credence

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

Salary$155k – $200k
LocationSt. Louis, Missouri, United States
Typefull-time
SenioritySenior
Experience7+ yrs
DepartmentDOW, AI & Emerging Technologies
Company size1,001–5,000 people
First seenOct 3, 2026 · 1w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have12
TS/SCI clearance Required (CI poly preferred)
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
Nice to have4
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
Skills
TypeScript
Python
Next.js
LangChain
LangGraph
CrewAI
Mastra
Agent2Agent Protocol
Bedrock Agents
Strands
AgentCore
OpenAI
Anthropic
Gemini
Amazon Bedrock
Google Vertex AI
Nx
Vercel AI SDK
Playwright
Jest
Vite
uv
Pydantic
FastAPI
Unstructured
GitLab CI
VS Code
Cline
Claude Code
Terraform
Open Tofu
AWS CDK
CloudFormation
Benefits
Health insurance
Dental insurance
Vision insurance
Retirement plan
Life insurance
Paid time off
Family leave
Short term disability
Long term disability
Training and development
Wellness resources
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.
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.
Requirements
What You Bring
•
TS/SCI clearances Required (CI poly preferred).
•
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.
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
•
Health Care Plan (Medical, Dental & Vision)
•
Retirement Plan (401k, IRA)
•
Life Insurance (Basic, Voluntary & AD&D)
•
Paid Time Off (Vacation, Sick & Public Holidays)
•
Family Leave (Maternity, Paternity)
•
Short Term & Long Term Disability
•
Training & Development
•
Wellness Resources
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