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Full Stack Engineer at GeoDelphi. FULL STACK ENGINEER. . Location:. Remote / Alexandria, VA. Clearance: . Eligibility to be cleared. Are you ready to be part of a team that creates cutting-edge AI-powered analysis and simulation on-demand? At Whitespace, we use our Iris platform to uncover hidden relationships and patterns of life (POL) at machine speed, enhancing mission performance like never before. . Whitespace is seeking an innovative Full Stack Engineer to join our dynamic team. The ideal candidate will have a full-stack engineering mindset, while bridging AI model integration, cloud development, and web application deployment, ensuring flexibility across GCP and Azure. The key responsibility of this position is to develop end-to-end solutions for our clients and for internal use. You will be working with a small group of developers and engineers who are tasked with building the systems that will aid our clients in staying ahead of tomorrow’s threats.. If you are passionate about making a difference in the world and being part of groundbreaking technology in national security, this position is for you!. This position is . 100%. remote for candidates who are not located within fifty miles of the corporate office. This position will report directly to the Vice President of Engineering. The candidate . must be a U.S. citizen. and . reside in the contiguous United States.. You will be a . W-2 employee. of GeoDelphi, Inc., and we . do not accept third-party applications.. . RESPONSIBILITIES . . Develop AI-Driven Applications: Build full-stack solutions integrating AI models into web applications, APIs, and cloud services.. . Ability to use a wide variety of open-source technologies and cloud-based services.. . Handling both front-end (user interface, UI/UX) and back-end (server-side logic, database management) development aspects of AI-powered applications.. . . . Backend Engineering:. Develop efficient and scalable backend services using Python (Flask, FastAPI), Node.js (Express), or Java (Spring Boot) with databases like BigQuery, Firestore, PostgreSQL, or Azure Cosmos DB.. . . Frontend Engineering:. Design intuitive user interfaces with React, Angular, or Vue.js, ensuring performance and accessibility.. . . Develop APIs and microservices that expose AI capabilities for use across multiple business units.. . Ensure AI solutions comply with data privacy, governance, and security best practices on both GCP and Azure.. . Adapt to a hybrid cloud environment, ensuring applications can run across GCP and Azure without disruption.. . Work in an agile setup, collaborating with data scientists, cloud engineers, and business teams to prototype, test, and deploy AI solutions.. . Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.. . Optimizing the performance and scalability of AI-driven applications and related infrastructure.. .  . EXPERIENCE. . A bachelor's degree in Computer Science, Software Engineering, Information Technology, AI, or a related field with a minimum of 5 years of technical engineering experience. Will consider work experience in lieu of a degree.. . . Cloud Expertise:. GCP & Azure. . . . GCP services:. Cloud Run, Kubernetes (GKE), BigQuery, Firestore, IAM, Pub/Sub.. . . Azure services:. Azure Kubernetes Service (AKS), App Service, Azure Machine Learning, Azure Functions, Cosmos DB.. . . . MLOps & AI Integration:. Experience with Vertex AI, TensorFlow Serving, MLFlow, or Azure ML Model Deployment.. . . DevOps & CI/CD:. Experience with Cloud Build, GitHub Actions, Azure DevOps, Terraform for infrastructure automation.. . . Hybrid & Multi-Cloud Experience:. Ability to design and deploy applications that run across GCP and Azure.. . DESIRED SKILLS. . Experience working in financial services, insurance, or regulated environments.. . Exposure to containerization (Docker, Kubernetes, Helm) and serverless architectures.. . Experience in LLMs, Generative AI, and AI observability is a plus.. . Knowledge of AI governance, explainability, and responsible AI practices.. . Company Location: United States.