Application Engineer

Job Description

Razorpay is seeking a highly skilled and motivated Full Stack Platform Application Engineer to join their Business Applications team. In this role, the engineer will lead the design and development of Razorpay’s next-generation internal CRM and Portfolio Advisor Dashboard platform. This platform will provide real-time visibility into account performance, streamline task orchestration, and empower teams with actionable AI-driven insights.Role involves:

• Designing and implementing a responsive, modular dashboard UI using React.js with TypeScript.
• Developing and managing secure, scalable REST/GraphQL APIs using Node.js or Python (FastAPI/Flask).
• Architecting and integrating workflow automation engines (Temporal, Camunda, n8n) for dynamic task orchestration.
• Extending and customizing existing CRM features by understanding multi-entity architecture, lead/account relationships, and ticketing workflows.
• Leading platform integration with Razorpay’s internal services (CRM, Risk, Ticketing, RevOps, and Data Lake) using microservice and event-driven designs (Kafka, RabbitMQ).
• Translating internal user journeys into cohesive modular features and workflows.
• Building AI-powered utilities like smart FAQ responders, merchant nudges, risk alerts, and reporting assistants using LLMs (OpenAI, Claude, LangChain).
• Ensuring compliance with enterprise-grade RBAC, OAuth2, JWT authentication, and audit trails.

Requirements:

• 4–8 years of full-stack development experience in SaaS, CRM, or enterprise platform engineering.
• Strong proficiency in React.js with TypeScript, UI component architecture, and modern CSS frameworks (TailwindCSS/Chakra UI).
• Proven backend development using Node.js or Python, with robust knowledge of PostgreSQL, MongoDB, and Redis.
• Demonstrated experience integrating or extending CRM systems (Salesforce, LeadSquared, SAP, Zoho, etc.).
• Solid understanding of workflow configuration, API orchestration, and debugging integration points.
• Knowledge of AI/ML interfaces, prompt engineering, vector DBs, or lightweight model applications.
• Familiarity with event-driven architectures, task queues, and microservices.
• Experience working closely with product managers, data scientists, and operations teams to deliver internal business tools.

Role offers:

• Opportunity to work with a modern tech stack including React.js, TypeScript, Node.js, FastAPI, PostgreSQL, MongoDB, Redis, Kafka, RabbitMQ, n8n, Temporal, Airflow, OpenAI APIs, Claude, LangChain, Pinecone, FAISS, Docker, Kubernetes, and GitHub Actions.