Credence

Design, develop, and deploy advanced AI-driven solutions collaborating with cross-functional teams. | Bachelor's or Master's degree in Computer Science or related field with 7+ years software engineering experience, proficient in Python and TypeScript, experienced with LLM and cloud-native development. | 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. 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. 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

Design and develop scalable enterprise software solutions and APIs using cloud-native technologies with AI and automation integration. | Bachelor's degree and 15 years of software engineering experience, U.S. citizenship, and ability to obtain Secret Security Clearance required. | 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 is seeking an experienced Senior Software Engineer to design, develop, integrate, and modernize enterprise software solutions. This role focuses on application development, software architecture, cloud-native technologies, AI-enabled automation, systems integration, and advanced analytical capabilities that improve mission readiness, logistics, sustainment, and supply chain operations. The successful candidate will build scalable software applications, APIs, enterprise services, automation tools, and AI-enabled capabilities that transform complex operational and logistics information into mission-focused software solutions. This position offers the opportunity to work across software engineering, cloud technologies, DevSecOps, automation, and enterprise analytics while supporting one of the Department of Defense's most critical aviation programs. The ideal candidate is a senior-level software engineer with strong programming experience, modern application development expertise, and a passion for building innovative solutions that drive operational effectiveness and mission success. Responsibilities include, but are not limited to the duties listed below Software Engineering & Architecture Design, develop, test, and deploy scalable, secure enterprise software, APIs, and microservices. Design secure, cloud-native software architectures, and contribute to architecture decisions across the stack. Support deployment through containers and CI/CD, and modernize legacy systems through automation and cloud-enabled technologies. Apply engineering best practices — source control, automated testing, code review, documentation. Ensure compliance with secure software development standards and Government cybersecurity requirements Support monitoring, troubleshooting, and operational sustainment of production systems. AI & Intelligent Automation Build and integrate AI-enabled capabilities — including generative AI, LLMs, RAG, and agentic workflows — into production systems, with secure integration into approved AI platforms. Apply AI-assisted development tools to improve engineering velocity and code quality. Evaluate emerging AI and automation technologies and drive their practical adoption. Impact & Collaboration Translate complex operational requirements into production-ready software, working directly with analysts and stakeholders. Build forecasting, modeling, and decision-support tools that turn data into operational insight. Provide technical leadership and mentorship, and help shape engineering standards across the team. U.S. Citizenship with the ability to obtain a Secret Security Clearance. Bachelor's degree in a related technical field 15 years of directly related professional experience. Significant professional experience in software engineering, application development, systems engineering, automation, or related technical disciplines. Demonstrated expertise in one or more modern programming languages such as Python, Java, C#, or JavaScript/TypeScript, with recent hands-on experience developing production software. Experience designing, developing, testing, deploying, and maintaining enterprise software applications and services. Experience developing APIs, distributed systems, microservices, or service-oriented architectures. Experience with software architecture, object-oriented design, and software development lifecycle best practices. Experience working in Agile software development environments, including Scrum or Kanban. Experience developing and deploying applications in cloud environments such as AWS, Azure, or GCP, including containerized or cloud-native applications. Experience integrating enterprise systems and developing mission-focused software solutions. Strong problem-solving, communication, technical writing, and collaboration skills. Preferred Qualifications Experience with generative AI, large language models (LLMs), retrieval-augmented generation (RAG), prompt engineering, or AI-enabled application development. Familiarity with agentic AI frameworks, orchestration platforms, and intelligent automation solutions. Experience developing mission applications that incorporate analytics, forecasting, optimization, or decision-support capabilities. Why This Role Matters Mission-Critical Impact – Build software solutions that directly improve mission readiness, logistics, sustainment, and operational effectiveness. Modern Engineering Environment – Work with cloud technologies, DevSecOps, AI-enabled capabilities, automation frameworks, and modern software architectures. Innovate with Purpose – Develop mission-focused applications that help transform data into actionable insights and operational outcomes. Collaborative Technical Culture – Partner with engineers, AI specialists, mission experts, and Government stakeholders to solve complex challenges. Professional Growth – Expand your expertise across software engineering, cloud, AI, automation, and defense mission support while contributing to one of the world's most advanced aviation programs. Salary Range: $170,000 - $200,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. 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

Manage federal cybersecurity compliance, risk management, and authorization activities including security documentation and validation of NIST controls. | Bachelor's degree, 3-5 years cybersecurity experience, active Secret clearance, knowledge of RMF and federal compliance. | 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 an Information Systems Security Officer (ISSO) to support federal cybersecurity compliance, risk management, and authorization activities within a complex government environment. The ISSO will serve as a key security and compliance resource, supporting Authority to Operate (ATO) efforts, continuous monitoring activities, security documentation, risk assessments, and implementation validation of NIST security controls. The successful candidate will work closely with government stakeholders, technical teams, and compliance personnel to ensure systems remain secure, compliant, and operationally effective. Responsibilities include, but are not limited to the duties listed below Serve as the primary point of contact (POC) to Lead Security Impact Analysis (SIA) and NOC packages Serve as the primary point of contact (POC) for compliance-related questions by client, RPC, and other stakeholders (except RSCs) Serve as the primary point of contact (POC) for ATO efforts for RPC systems: Privacy Impact Assessment (PIA);Perform risk analysis and risk assessments on proposed changes Information System Contingency Plan (ISCP) - will maintain and coordinate updates annually Contingency Plan Testing – conducted and documented annually SSP updates Cyber Table Top/Testing requirements – Support conducting and documenting annually to meet requirements POA&M management Serve as the primary point of contact (POC) for ISSO Checklist (monthly, quarterly, annual) Support compliance-based data call requests where necessary Participate in IRB, CCB, A&A, M21-31, and other policy meetings Ensure security controls are being met (NIST 800-53 control implementation validation) Keep ArchAngel updated with system changes (boundary diagrams, connection table, POCs...) Participate on IIS daily calls (once a week) Support Compliance meetings with client(s): currently bi-weekly Government Sync with ISO and Monthly AODR Check-in Monthly continuous monitoring deliverables (ISSO checklist, and recurring account validation) Customer responsibility matrix maintenance Evaluate security tools and verify that all have obtained required FedRAMP and TRB approvals prior to integration into the environment Active Secret security clearance required. Bachelor's degree in Cybersecurity, Information Assurance, Information Systems, Computer Science, Computer Engineering, Mathematics, or a related field. Three (3) to five (5) years of relevant professional experience supporting information security, cybersecurity compliance, risk management, or related IT security functions. Experience supporting security authorization and compliance activities within federal, government, or highly regulated environments. Knowledge of Risk Management Framework (RMF) principles and NIST SP 800-53 security controls. Experience developing or maintaining security documentation, including System Security Plans (SSPs), Plans of Action and Milestones (POA&Ms), risk assessments, and contingency plans. Experience supporting continuous monitoring and security compliance activities. Strong analytical, organizational, documentation, and communication skills. Preferred Qualifications Security+, CAP, CISSP, CISM, or other relevant cybersecurity certifications. Experience supporting Assessment and Authorization (A&A) or Authority to Operate (ATO) activities. Familiarity with FedRAMP, cloud security, and federal cybersecurity compliance requirements. Experience supporting government customers and stakeholders. Salary Range: $95,000 - $132,000 annually. Actual compensation will be determined based on factors such as experience, education, certifications, security clearance status, and internal equity. 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

Lead design and implementation of software tools and subsystems, improve enterprise application interfaces, manage software lifecycles, develop machine learning models, and ensure accessible UI/UX design. | Bachelor's degree in a technical discipline, 10+ years in applications engineering or software development, proficiency in React, Next.js, TypeScript, machine learning deployment, and ability to obtain security clearance. | 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 more than 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 consecutive years and named to the Inc. 5000 list of Fastest-Growing Private Companies in 13 of the past 14 years. Credence is a welcoming environment for those looking to grow and make a meaningful impact. We encourage employees to push boundaries and help solve critical, world-changing federal challenges. Credence has an immediate opening for a Senior Applications Engineer who will be primarily responsible for supporting the Defense Logistics Agency, Defense Automated Addressing Systems (DAAS), AI/ML program. The Senior Applications Engineer analyzes and studies complex system requirements and leads the design and implementation of software tools and subsystems that support software reuse and domain analyses. This is a hands-on role that pairs deep applications engineering with front-end UI/UX development: you will be handed real enterprise applications with real user friction, and part of your mandate is to diagnose why users aren’t engaging and rebuild experiences — interfaces, dashboards, and data visualizations surfacing AI/ML outputs — that they actually want to use. You will manage software development and support efforts using formal specifications, data flow diagrams, and other accepted design techniques and Computer-Aided Software Engineering (CASE) tools, while providing reliable cost and schedule estimates to program leadership. To succeed in this role, you should combine deep hands-on engineering expertise with modern front-end skills, the ability to guide development teams, improve existing systems, and enforce disciplined configuration management practices in support of DAAS AI/ML modernization efforts. Responsibilities include, but are not limited to the duties listed below Analyzing and studying complex system requirements to inform software design and implementation decisions Designing software tools and subsystems to support software reuse and domain analyses, and managing their implementation Managing software development and support using formal specifications, data flow diagrams, other accepted design techniques, and Computer-Aided Software Engineering (CASE) tools Estimating software development costs and schedule, and communicating estimates and risks to program and project leadership Reviewing existing programs and assisting in making refinements, reducing operating time, and improving current techniques Supervising software configuration management, including version control, change control, and release integrity across the development lifecycle Developing machine learning models in support of various use cases, including: Transaction Anomalies Inventory Reconciliation Supply Chain Decisions Audit Readiness Content Intelligence AIOps Fraud & Threat Detection Entity Resolution Recommendation Engines Generative AI Architecting and building performant, responsive, accessible (WCAG 2.1 AA) user interfaces using React/Next.js with TypeScript, HTML5, and CSS3 Auditing existing applications to identify user adoption barriers through heuristic analysis, user research, and behavioral data, and translating insights into measurable improvements in engagement and task completion Designing and building interactive dashboards and data visualization layers (D3.js, Chart.js, or similar) that surface AI/ML outputs, analytics, and operational metrics to end users Developing reusable component libraries and design systems that scale across multiple products Leveraging AI coding assistants (e.g., GitHub Copilot, Cursor) as a productivity multiplier within disciplined, secure development workflows Contributing to code reviews, CI/CD pipelines (Jenkins, Git), artifact and dependency governance (Sonatype Nexus), and agile ceremonies (JIRA) Collaborating with cross-functional teams, developers, analysts, and stakeholders to deliver software solutions that meet or exceed client expectations Documenting and communicating the results of your efforts Related duties or special projects as assigned US citizen with the ability to obtain a security clearance is required BA/BS in a technical discipline from an accredited university At least ten (10) years of applicable experience in applications engineering, software development, or a related discipline Demonstrated experience analyzing complex system requirements and designing software tools and subsystems Experience managing software development efforts using formal specifications, data flow diagrams, and other accepted design techniques and CASE tools Demonstrated ability to estimate software development costs and schedules Experience with software configuration management tools, systems, and processes Demonstrated experience developing and deploying machine learning models in operational or production environments Experience engineering AI-driven anomaly detection models (e.g., time-series forecasting approaches such as Prophet) to monitor API traffic or system telemetry 5+ years of hands-on experience in UI/UX design and front-end development, with a portfolio demonstrating measurable impact on user experience Proven track record of improving adoption or usability on complex enterprise or government applications — fixing existing products, not just building new ones Expert-level proficiency in React, Next.js, TypeScript, and HTML/CSS, with deep familiarity with WCAG 2.1 accessibility standards Experience with data visualization libraries (D3.js, Chart.js, Recharts, or similar) and a solid understanding of UX research methods (usability testing, journey mapping, heuristic evaluation) Proficiency with Git, JIRA, Jenkins, and Sonatype Nexus for artifact management, dependency governance, and secure software supply chain practices Desired Technical Skills Languages: Python, Golang, C++, C, SQL, Java Cloud & Big Data: AWS (CLI, EC2, S3), Hadoop, Snowflake, Databricks, PySpark, Teradata, Oracle, SQL Server, Azure Machine Learning & Analytics: XGBoost, SVM, Random Forest, kNN, Cosine Similarity, NLP, Alteryx, AWS SageMaker, Tableau Tools/Frameworks: Git, GitHub, Flask, NodeJS, ReactJS, Next.js, TypeScript, D3.js, Chart.js, Recharts, REST API, Django, Docker, Kubernetes, Terraform, Jenkins, JIRA, Sonatype Nexus, GitHub Copilot/Cursor Desired Certifications AWS Certified Machine Learning – Specialty CompTIA Security+ ce AWS Certified Solutions Architect 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 Free Food & Snacks Wellness Resources Stock Option Plan