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 platforms
- Optimize models for performance, scalability, and responsiveness in web environments
- Conduct 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 workflows
- Implement intelligent features such as:
- Personalized content and recommendations
- AI-powered chatbots and conversational interfaces
- Dynamic 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 interfaces
- Work with frontend teams to translate design concepts into intelligent, interactive web features
- Optimize applications for speed, scalability, and cross-browser compatibility
Data & Analytics
- Analyze user behavior and web interaction data to improve design and functionality
- Build 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 requirements
- Participate in system architecture, design reviews, and agile development processes
- Monitor deployed AI systems and continuously improve performance and accuracy
- Stay current with emerging AI, UX, and web technology trends
Requirements
Required Qualifications
- Bachelor’s degree in Computer Science, Data Science, Software Engineering, or related field
- Experience developing AI/ML models and deploying them into applications
- Proficiency in programming languages such as Python and JavaScript
- Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
- Experience with web development technologies:
- HTML, CSS, JavaScript
- Frontend frameworks (React, Angular, or Vue)
- Familiarity with APIs, cloud platforms (Azure, AWS, or GCP), and data pipelines
- Strong problem-solving and analytical skills
Required Qualifications
- Bachelor’s degree in Computer Science, Data Science, Software Engineering, or related field
- Experience developing AI/ML models and deploying them into applications
- Proficiency in programming languages such as Python and JavaScript
- Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
- Experience with web development technologies:
- HTML, CSS, JavaScript
- Frontend frameworks (React, Angular, or Vue)
- Familiarity with APIs, cloud platforms (Azure, AWS, or GCP), and data pipelines
- Strong problem-solving and analytical skills
Preferred Qualifications
- Experience with generative AI tools and AI-assisted design platforms
- Knowledge of UX/UI design principles and user-centered design
- Experience 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
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