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

Credence

Denver (CO)

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 Insurance

Training & Development

Wellness Resources

Job summary

Credence has an immediate need for a Senior AI Software Engineer to join our growing AI and Automation practice. You will design, develop, and deploy AI-driven solutions for federal clients, including generative AI and LLM-powered applications, while mentoring engineers.

You will collaborate across data, cloud, and mission teams, apply DevSecOps practices, and drive reliable, scalable delivery in a federal setting.

Qualifications

TS/SCI clearances required (CI poly preferred).
Bachelor's or Master’s in Computer Science, AI/ML, or related field.
7+ years of hands-on software engineering experience delivering AI/ML/LLM-powered solutions.
Experience building generative AI apps, working with LLMs, tool/function calling, and retrieval-augmented generation.
Experience designing agentic AI solutions with frameworks like Agent2Agent Protocol, Bedrock Agents, Mastra, CrewAI, LangChain, LangGraph.
Strong understanding of APIs and model platforms such as OpenAI, Anthropic, Gemini, Bedrock, Vertex AI.
Proficiency in TypeScript and familiarity with Nx, Next.js, Mastra, Vercel AI SDK, Playwright, Jest, Vite.
Python proficiency and libraries (uv, Pydantic, FastAPI, LangChain, LangGraph).
Curiosity and practical experimentation with emerging AI technologies with responsible innovation.
Familiarity with CI/CD pipelines (GitLab CI).
Experience with VS Code and AI extensions ( Claude Code ).
Strong communication skills and client-oriented mindset

Responsibilities

Generative AI & LLM Solution Delivery: design, develop, prototype and refine AI capabilities using generative AI, LLMs, retrieval patterns, and secure API integrations.
Agentic AI System Development: own end-to-end lifecycles including model selection, agent design, tool calling, orchestration, evaluation and deployment of AI agents.
Senior Software Engineering Leadership: apply software engineering principles, conduct code reviews, establish patterns, and use AI-assisted tools responsibly.
Cross-Functional Technical Collaboration: partner with data engineers/scientists, cloud engineers, and stakeholders to translate needs into operational AI solutions.
Cloud Enablement & DevSecOps Integration: design and automate IaC, CI/CD pipelines, containers, and cloud-native services.
Production Monitoring & Optimization: monitor AI systems, tune performance, ensure reliability and scalability.
Technical Rigor & Documentation: write clean, well-documented code per industry/federal guidelines.
Technical Mentorship & Continuous Improvement: stay current on AI trends and mentor team members.

Skills

AI/ML development

TypeScript

Python

DevSecOps

Mentorship

Communication skills

Education

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

Tools

Next.js

Mastra

Vercel AI SDK

Playwright

Jest

Vite

LangChain

LangGraph

OpenAI API

Anthropic API

Gemini

Bedrock

Vertex AI

Terraform

AWS CDK

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

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