About this role
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.
Credence is seeking a Full Stack Developer to support the Space Systems Command (SSC) S6 Office under the Command Staff Support contract at Los Angeles Space Force Base in El Segundo, California. The S6 Office serves as SSC's focal point for communications, information technology, digital modernization, enterprise services, and data management initiatives supporting headquarters leadership and mission organizations.
The AI Developer will design, develop, and integrate artificial intelligence capabilities into web-based systems to enhance user experience, automate design processes, and enable intelligent, data-driven web functionality. This role bridges AI/MLengineering with modern web design practices, delivering adaptive, personalized, and high-performance digital experiences.
AI Developers typically build and deploy machine learning models and integrate them into applications, translating business needs into intelligent solutions.
Key Responsibilities
AI Development & Integration
Design, develop, and deploy machine learning and AI models (e.g., NLP, recommendation engines, personalization algorithms)Integrate AI capabilities into web applications via APIs, microservices, and cloud platformsOptimize models for performance, scalability, and responsiveness in web environmentsConduct data preprocessing, model training, testing, and validation for production deployment Web Design Enablement
Collaborate with UI/UX designers to embed AI-driven features into website interfaces and workflowsImplement intelligent features such as: Personalized content and recommendationsAI-powered chatbots and conversational interfacesDynamic UI/UX adjustments based on user behavior Support automated design processes (e.g., layout optimization, A/B testing, content generation)Frontend & Web Application Support
Develop and integrate AI-enhanced frontend components using modern frameworks (e.g., React, Vue)Ensure responsive, accessible, and high-performance user interfacesWork with frontend teams to translate design concepts into intelligent, interactive web featuresOptimize applications for speed, scalability, and cross-browser compatibility Data & Analytics
Analyze user behavior and web interaction data to improve design and functionalityBuild predictive models to enhance UX (e.g., personalization, search optimization, recommendations)Generate insights that inform design improvements and user engagement strategies Collaboration & Lifecycle Support
Collaborate with product managers, designers, and engineers to define AI-driven requirementsParticipate in system architecture, design reviews, and agile development processesMonitor deployed AI systems and continuously improve performance and accuracyStay current with emerging AI, UX, and web technology trendsRequirements
Required Qualifications
Bachelor’s degree in Computer Science, Data Science, Software Engineering, or related fieldExperience developing AI/ML models and deploying them into applicationsProficiency in programming languages such as Python and JavaScriptExperience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)Experience with web development technologies: HTML, CSS, JavaScriptFrontend frameworks (React, Angular, or Vue)Familiarity with APIs, cloud platforms (Azure, AWS, or GCP), and data pipelinesStrong problem-solving and analytical skills Required Qualifications
Bachelor’s degree in Computer Science, Data Science, Software Engineering, or related fieldExperience developing AI/ML models and deploying them into applicationsProficiency in programming languages such as Python and JavaScriptExperience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)Experience with web development technologies: HTML, CSS, JavaScriptFrontend frameworks (React, Angular, or Vue)Familiarity with APIs, cloud platforms (Azure, AWS, or GCP), and data pipelinesStrong problem-solving and analytical skillsPreferred Qualifications
Experience with generative AI tools and AI-assisted design platformsKnowledge of UX/UI design principles and user-centered designExperience building AI-powered web applications (chatbots, recommendation engines, etc.)Familiarity with MLOps, CI/CD pipelines, and containerization (Docker, Kubernetes)Experience with real-time data processing and personalization systems