AI Application Developer

Job description

Key Responsibilities AI-Powered Customer Onboarding • Design and develop digital onboarding journeys integrating eKYC, CKYC, DigiLocker, Video KYC, Aadhaar verification, eSign, eNACH and account opening workflows. • Build intelligent validation and document collection flows using AI. • Enable straight-through onboarding with minimal manual intervention. Digital Lending Journeys • Develop end-to-end loan journeys covering: • Lead generation • Eligibility assessment • Bureau integration • Business Rule Engine (BRE) • Loan Origination System (LOS) • Loan Account (LAN) creation • Documentation • Disbursement • Integrate lending journeys with internal and external banking platforms. Conversational Banking • Build AI-powered conversational journeys on WhatsApp and other digital channels. • Enable customers to: • Open accounts • Apply for loans • Check application status • Make service requests • Access account information • Perform banking transactions • Build multilingual customer experiences. AI Workflow Automation • Develop agentic AI workflows capable of understanding customer intent, orchestrating banking processes, validating information, triggering system actions, and completing transactions autonomously. • Build reusable AI agents for servicing, sales, collections, and onboarding. System Integration • Integrate conversational journeys with: • Core Banking System (CBS) • Loan Origination System (LOS) • Loan Management System (LMS) • CRM • Payment Gateways • UPI • Fund Transfer Systems • Notification platforms • Third-party APIs • Develop secure APIs and middleware services to enable seamless data exchange. Digital Collections • Build AI-driven collections journeys including: • Personalized reminders • Payment links • Repayment workflows • Promise-to-pay tracking • Recovery automation • Integrate payment systems to facilitate frictionless repayments. Platform Engineering • Build reusable workflow components, APIs, AI services, and orchestration layers that accelerate future product launches. • Ensure scalability, security, monitoring, and reliability of AI applications. • Work closely with AI Product Managers, architects, business teams, and technology partners to deliver production-ready solutions. Preferred Technical Skills AI & Automation • Conversational AI platforms • Large Language Models (LLMs) • AI Agents and Agentic Workflows • Prompt Engineering • Retrieval-Augmented Generation (RAG) • Workflow orchestration platforms Programming • Python • Node.js • Java • REST APIs • GraphQL • Microservices Cloud & DevOps • AWS/Azure/GCP • Docker • Kubernetes • CI/CD pipelines • Git Banking Integrations • Core Banking Systems • Loan Origination Systems • Loan Management Systems • CRM • Payment Gateways • UPI integrations • Aadhaar/eKYC integrations • DigiLocker • eSign • eNACH Databases • SQL • PostgreSQL • MongoDB • Redis