Full Stack Engineer

Education Development Center (EDC) is a global nonprofit that works with partners to advance every person’s journey to learn, work, and be well. The Full Stack Engineer will architect and develop full-stack applications, implement modular architectures, and integrate AI solutions to support EDC’s strategic goals. Responsibilities: Architect and develop full-stack applications that align with EDC’s AI & Digital Transformation strategy and drive high-priority business outcomes; Implement modular “Lego-block” architectures that are reusable and interoperable across business development, programmatic, and core business systems through API-first, cloud-native solutions; Integrate responsible AI by leveraging AWS Bedrock, CrewAI, and other AI services to design and deploy agentic AI teams and intelligent solutions; Streamline enterprise workflows by replacing manual processes with reliable, scalable, and automated digital systems; Collaborate cross-functionally with business development, program, and operations teams to translate business needs into scalable technical products; Ensure security, privacy, and accessibility by upholding EDC’s data governance and compliance standards across all solutions; Contribute to the Reference Architecture for Agentic AI which will serve as the blueprint for deploying and governing AI agents safely, efficiently, and at scale; Mentor and share knowledge across engineering and AI/Data communities to promote best practices in cloud-native, AI-enabled design; Continuously improve development processes through automation, observability, and agile, iterative delivery that reflects EDC’s learning culture Qualifications: BS in computer science or equivalent and 5+ years of related work experience; Master's degree in computer science or equivalent and 3+ years of related work experience; Proven experience building and deploying full-stack web applications using modern frameworks (React, Vue, Angular, Node.js, Python, TypeScript, etc.); Proven experience with AWS Cloud Services: Lambda, DynamoDB, Aurora Serverless, S3, API Gateway, AppSync, and Bedrock; Strong understanding of API-first, modular architecture principles (GraphQL, REST); Experience integrating AI/ML services (e.g., AWS Bedrock, CrewAI, OpenAI APIs) into production applications; Familiarity with CI/CD pipelines, Infrastructure-as-Code (IaC), and DevOps tools; Knowledge of data architecture and ETL pipelines to connect operational and analytic systems; Committed to accessibility (508/ADA), inclusive design, and secure coding practices; Skilled collaborator works fluidly with architects, engineers, designers, and business domain experts; Strong communicator with the ability to explain technical solutions in clear, mission-relevant terms; Demonstrated agility—thrives in iterative, fast-evolving, mission-driven environments; Analytical decision making, critical and creative problem-solving, deep understanding of corporate knowledge, excellent communication skills, ability to multi-task and attention to detail, organized, teamwork, adaptable to work with any audience and any system, strong understanding of microservices, API-first, cloud-native, and headless architectural patterns as well as agentic AI frameworks Required Skills: Full-stack web development, React, Vue, Angular, Node.js, Python, TypeScript, AWS Cloud Services, AWS Lambda, AWS DynamoDB, AWS Aurora Serverless, AWS S3, AWS API Gateway, AWS AppSync, AWS Bedrock, API-first architecture, Modular architecture, GraphQL, REST, AI/ML services integration, CrewAI, OpenAI APIs, CI/CD pipelines, Infrastructure-as-Code, DevOps tools, Data architecture, ETL pipelines, Accessibility (508/ADA), Inclusive design, Secure coding practices