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

L2 Application Support Engineer Turing DCMS / ATM / Debit Card (M2P) Hot Job Detail AES provides IT services, business solutions and outsourcing for software, mobile, eCommerce, and web development Job Purpose: To provide Level 2 support for Turing s DCMS (Debit Card Management System) , ATM switching services, and M2P platform integrations. The engineer will be responsible for ensuring uninterrupted card transactions, monitoring switch processes, handling settlement file validations, and addressing production issues across debit card issuance and transaction systems. Key Responsibilities: Card & Switch Monitoring Monitor ATM/POS/Ecom transactions across DCMS and switching platforms. Ensure authorization systems (e.g., M2P Switch or NPCI interfaces) are up and performing to expected standards. Analyze and act upon transaction failures, reversals, or declines due to system/configuration issues. DCMS Application Support Perform L2 support for card lifecycle management (issuance, hotlisting, PIN reset, renewals). Manage card-bin configurations , product setup, and branch mapping. Coordinate with L1 teams for card-related service tickets and log issues with L3/vendor as needed. File Processing & Settlement Validate and monitor file exchanges with NPCI (e.g., debit switches, settlement files, chargebacks). Ensure timely reconciliation of interchange fees , transaction clearing , and settlement reports . Support chargeback dispute investigations and reversals. Incident & Change Management Log incidents in ITSM (e.g., ServiceNow), document resolutions, and close within defined SLAs. Coordinate with infrastructure and network teams for switch availability or connectivity issues. Participate in change deployments , release validations, and UAT support for card platform enhancements. Reporting, Audit & Compliance Generate and validate MIS reports , ATM uptime , failed transactions , and settlement summaries . Support audit queries related to card management and switch controls. Maintain documentation for RCA, operational SOPs, and knowledge articles. Technical Skills: Technologies/Tools Switch Platform M2P, FIS, FSS, ISO 8583 Oracle, PostgreSQL, SQL Batch/File Processing SFTP, Shell scripts, reconciliation engines App logs, Switch logs, Grafana, ELK ServiceNow, Jira ISO 8583, TCP/IP, HTTPs, NPCI file formats Soft Skills & Functional Knowledge: Good understanding of card issuing , transaction flow , and switching mechanisms . Strong attention to detail for transaction-level analysis and batch troubleshooting. Effective communication with internal teams and external vendors (e.g., M2P, NPCI). Ability to work under pressure during downtime

L2 Application Support Engineer Supply Chain Finance LMS (SCF Theme Pro) Hot Job Detail AES provides IT services, business solutions and outsourcing for software, mobile, eCommerce, and web development Job Purpose: To deliver Level 2 application support for SCF Theme Pro , a Loan Management System tailored for Supply Chain Finance (SCF) products. The role involves ensuring seamless system operations, timely loan lifecycle processing, integration monitoring, and compliance with regulatory and business SLAs. Key Responsibilities: Loan Lifecycle Management Support day-to-day functioning of loan disbursements , repayments , interest accrual , and repayment schedules . Manage SCF-specific transactions like invoice discounting , reverse factoring , dealer/vendor onboarding , and credit line utilization . Address discrepancies in borrower ledger, repayment schedules, or EMI generation. Issue Resolution & Troubleshooting Resolve incidents reported by L1 or business teams related to data mismatches, missing entries, or failed disbursements. Investigate and provide root cause analysis (RCA) for recurring loan lifecycle issues. Support bulk uploads of loan records, interest re-computation, and rate updates. Integration & Interface Monitoring Monitor integration with CBS , LOS , external accounting systems , and fintech platforms . Validate inbound/outbound APIs or batch processes handling borrower data, sanction letters, and disbursement records. Ensure reconciliation between LMS and upstream/downstream applications. Reports, EOD & Regulatory Compliance Validate and publish EOD reports , aging analysis , loan outstanding reports , and interest accrual summaries . Ensure accurate data for regulatory filings (RBI), audit support , and internal compliance checks. Assist in parameter changes during new product rollouts (e.g., limit increase, rate changes, new anchor onboarding). Technical Skills: Tools/Technologies SCF Theme Pro, Intellect LMS, FinOne Oracle, MS SQL, PostgreSQL REST/SOAP APIs, File-based (SFTP), MQ SQL, Excel macros, MIS tools App logs, Cron jobs, Shell ServiceNow, Jira, Zoho Desk Soft Skills & Functional Knowledge: Knowledge of SCF structures , anchors, invoice validation, and dealer/vendor hierarchy. Ability to liaise with business operations , product , and engineering teams. Analytical approach for solving loan calculation or EMI processing issues. Strong documentation and communication for user training and audit readiness. Preferred Certifications: ITIL Foundation (mandatory) Domain certifications in Trade Finance / Supply Chain Finance preferred Work Schedule: Standard business hours with on-call support during EOD batches

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

AI Developer/Lead Position Overview Lead the development and implementation of AI-powered solutions to enhance nonprofit operational efficiency. This role combines technical leadership with hands-on development, driving our aggressive 6-week implementation cycles and multi-modal development approach. Key Responsibilities: Technical Leadership ? Lead technical design and architecture decisions for AI applications across all classification categories ? Oversee PoC development, bug fixes, iteration, and production builds ? Implement and maintain open-source AI foundations (Llama, Haystack, LlamaGuard) ? Design and manage synthetic data pipelines for training and analytics ? Ensure deployment and go-live support for all AI applications Development Strategy Execution ? Drive accelerated creation using AI-powered development tools (Replit, Windsurf, Cursor) for rapid prototyping Manage complete development lifecycle: initial AI-assisted development ? manual code refinement ? user feedback integration ? production deployment ? Deploy applications directly on organizational servers with robust CI/CD processes ? Collaborate with global contributor network through GitHub ? Contribute insights back to the nonprofit technology community ?Integrate OSINT information into research and analytics workflows Application Development Focus Areas ? Basic automation for meeting reports, eCourts monitoring, administrative workflows ? Custom data management platforms replacing Excel-based systems ? Specialized LLM chatbots with domain knowledge across multiple functions ? Multi-modal tracking solutions (image, video, audio, location data) ? ML/NLP tools for hotspot prediction, translation services, investigative tools ? Compliance applications with automated DPDP and regulatory adherence ? Cybersecurity integration with secure communication frameworks Required Qualifications ? 5+ years experience in AI/ML development and deployment ? Proficiency in Python, JavaScript, React and modern AI frameworks ? Experience with LLM integration, fine-tuning, and safety models ? Hands-on experience with inference engines (like Groq/Cerebras) and API integration ? Strong background in server deployment and infrastructure management ? Experience with AI-assisted development tools (Replit, Cursor, Windsurf) ? Strong background in open-source development and GitHub collaboration ? Experience transitioning from rapid prototypes to production-ready applications ? Proven ability to deliver production applications in aggressive timelines ? Experience working with distributed international teams across multiple time zones Preferred Qualifications ? Experience with multi-modal AI applications ? Knowledge of both cloud-based inference services and self-hosted model deployment ? DevOps experience with server management and deployment automation

Job Purpose: To provide Level 2 application support for the Loan Origination System (LOS) used in Supply Chain Finance operations, ensuring uninterrupted onboarding, credit approval workflows, underwriting, and sanction processes. The role supports loan journey tracking from lead to disbursement in coordination with LMS and other upstream/downstream systems. Key Responsibilities: Loan Origination Workflow Monitoring Monitor the end-to-end SCF LOS workflow: lead creation , credit scoring , document collection , sanctioning , and handover to LMS . Ensure seamless functioning of automated steps like KYC validation , anchor onboarding , and vendor/dealer linkages . Validate credit scoring rules, approval matrix, and turnaround times (TAT). Incident Resolution & User Support Investigate and resolve issues related to LOS forms, drop-downs, rule failures, or user access. Provide L2 support to credit analysts , sales , and operations teams for loan initiation glitches or missing data flows. Perform root cause analysis and create workarounds where feasible. System Integration & Data Flow Support data exchange between LOS LMS CBS Credit Bureaus including document uploads and decisioning APIs. Monitor and validate third-party integrations for eSign , bureau pulls , GSTN validation , or PAN/Aadhaar checks . Coordinate with L3/vendor team for data mapping, master sync, and onboarding rule engine tuning. Configuration & Product Setup Support product team in setting up new SCF programs , eligibility rules , and risk models in LOS. Validate UI/UX updates and perform post-deployment sanity testing for workflows. Maintain and update master data like anchors, locations, credit limits, and document templates. Reporting & Audit Support Generate ad hoc and scheduled reports for LOS funnel tracking, TAT reports, and approval status. Assist in data gathering for compliance , regulatory audits , and MIS validation . Maintain SOPs, user manuals, and RCA documentation. Technical Skills: Area Tools/Technologies LOS Platform Custom LOS, Credo LOS, Newgen, Finflux Database Oracle, PostgreSQL, SQL Server Workflow & Rules Engine BPM tools, Java-based rule engines Integration APIs (REST/SOAP), XML/JSON, MQ Monitoring Logs, APM tools, browser developer tools ITSM ServiceNow, Jira, Zoho Desk Soft Skills & Functional Knowledge: Strong understanding of SCF workflows , credit appraisal , dealer/vendor programs , and credit committee approval flows . Analytical mindset to trace and resolve loan lifecycle issues. Ability to coordinate across product, tech, business, and vendor teams. Effective communication and documentation for issue handling and knowledge transfer. Preferred Certifications: ITIL Foundation Certifications in Credit/Trade Finance (e.g., IIBF, SCF Practitioner) optional Work Schedule: General business hours with on-call support during product launches, month-end peaks, or regulatory reporting windows.