AES provides IT services, business solutions and outsourcing for software, mobile, eCommerce, and web development Key Responsibilities: Design user experiences for both enterprise platforms and consumer-facing products Build responsive, mobile-friendly UIs with a focus on clarity, speed, and accessibility Collaborate with product and engineering to shape the Customer-Facing DPP UI Craft seamless document and claim management dashboards with high usability Integrate and design flows for AI-powered assistants and chatbots Conduct user research, testing, and feedback sessions with both internal users and end customers Create wireframes, prototypes, and design specs that align with business needs Maintain UX consistency across platforms, products, and device types ???? Required Skills: 4+ years of UX/UI design experience across enterprise and consumer applications AI-integrated interfaces Proficiency in Figma, Sketch, Adobe XD , or similar design tools Solid understanding of UX research , user personas, and behavior-driven design Experience in document/claim management flows , insurance or legal systems a plus Comfortable working in Agile teams with product managers and developers

AES provides IT services, business solutions and outsourcing for software, mobile, eCommerce, and web development Key Responsibilities: Build and maintain CI/CD pipelines using Azure DevOps (YAML & Classic Pipelines) Manage and provision cloud infrastructure using Azure-native tools (ARM, Bicep) or Terraform Implement and monitor API security using Azure API Management (APIM), OAuth2, and Azure AD integrations Define and manage role-based access control (RBAC) and permission tiers across resources and environments Automate infrastructure deployments and resource scaling Manage and rotate secrets securely using Azure Key Vault Troubleshoot and monitor deployments using Azure Monitor , Application Insights , and Log Analytics Support development teams with build automation, deployment gates, and rollback mechanisms ? Required Skills: Strong hands-on experience with Azure DevOps (Repos, Pipelines, Artifacts, Boards) Good knowledge of Azure Infrastructure (VMs, AKS, App Services, VNets, NSGs, Storage Accounts) Familiarity with API security best practices , token-based auth, and Azure AD App Registrations Solid scripting knowledge in PowerShell or Bash Experience with RBAC , service principals , and managing access across environments Familiarity with Git branching strategies, pull request workflows, and release pipelines

Support the AI development team in building innovative solutions for nonprofit efficiency. Focus on frontend development, user experience, and rapid prototyping using modern AI tools. Key Responsibilities Development Support ? Deliver measurable PoC components with daily progress commits ? Provide user testing feedback implementation with documented changes ? Support UI/UX testing with detailed testing reports and iteration recommendations ? Ensure deployment readiness with comprehensive documentation and handoff materials Technology Focus ? Work with AI-powered development tools (Replit, Windsurf, Cursor) for rapid application prototyping ? Support iterative development workflow: AI-assisted coding ? manual refinement ? user feedback integration ? Assist with deployment processes on organizational servers ? Contribute to open-source component development Learning & Growth Areas ? AI application development fundamentals ? User experience design for AI-powered tools ? Deployment and server management basics ? Inference engine integration (Groq and similar services) ? Nonprofit sector technology challenges ? Collaborative development through GitHub ? Multi-modal application interfaces Required Qualifications ? Currently pursuing or recently completed degree in Computer Science, AI, or related field ? Basic proficiency in JavaScript, Python, React or similar programming languages ? Familiarity with modern web development frameworks ? Interest in AI/ML applications and social impact technology ? Good communication skills and ability to work in fast-paced environment Preferred Qualifications ? Experience with AI/ML projects or coursework ? Familiarity with AI-assisted development platforms (Replit, Cursor, Windsurf) ? Previous internship or project experience in nonprofit sector ? Knowledge of user experience design principles ? Basic understanding of API integration and inference services Junior AI Engineer/Intern (Position 2) Position Overview: Support AI development team with focus on data pipeline development, backend systems, and machine learning model implementation for nonprofit applications. Key Responsibilities Backend Development Support ? Deliver functional synthetic data pipeline components with performance metrics ? Implement and document machine learning model training and validation processes ? Build compliance and cybersecurity features with security testing reports ? Develop and maintain API documentation for partner application integrations Technical Learning Areas ? Open-source AI model integration (Llama, Haystack ecosystem) ? Inference engine integration and optimization (Groq, self-hosted instances) ? Data processing and analytics pipeline development ? ML/NLP implementation for prediction and translation services ? OSINT data integration and processing ? Security framework implementation ? Server deployment and infrastructure basics Required Qualifications ? Currently pursuing or recently completed degree in Computer Science, Data Science, or related field ? Basic understanding of machine learning and data processing ? Proficiency in Python and familiarity with ML libraries (scikit-learn, pandas, numpy) ? Interest in data ethics and responsible AI development ? Ability to work independently and as part of distributed team Preferred Qualifications ? Experience with natural language processing or computer vision projects ? Familiarity with open-source AI models and frameworks ? Understanding of data privacy and compliance requirements ? Previous experience with nonprofit or social impact projects ? Knowledge of cybersecurity fundamentals ? Experience with inference APIs and model deployment ? Basic server administration or DevOps knowledge