Job Description

Role Overview
Key Responsibilities
Backend Engineering
• Design, build, and maintain backend services and REST APIs that power customer products
• Design data models and schemas, and work with relational and other data stores as appropriate
• Apply solid software engineering and distributed systems principles to day-to-day development
• Write automated tests and maintain CI/CD pipelines for reliable, repeatable deployments
• Diagnose and resolve production issues related to latency, reliability, and data quality
AI Integration
• Integrate backend services with customer's AI Suite (Bedrock, AgentCore, SageMaker-based APIs) built and maintained by the AI Platform team
• Wire LLM, embedding, and RAG-based capabilities exposed by the AI Suite into application features
• Apply prompt engineering and function calling at the application level to build reliable AI-powered features




• Contribute to testing and quality checks for AI-driven features from a product/application perspective
Cross-Stack Contribution
• Contribute across the stack as needed, such as data pipelines, infrastructure, or frontend touchpoints, depending on team and project needs
• Partner with full stack engineers, the AI Platform team, and data teams to deliver features end-to-end
• Balance delivery speed with code quality, maintainability, and operational health
Collaboration & Growth
• Work closely with product managers and business stakeholders to translate requirements into working software
• Collaborate with the AI Platform team to stay current on AI Suite capabilities and best practices for consuming them
• Share knowledge with other engineers on backend and AI-integration best practices

📌 Senior AI Backend Engineer (Mumbai)
🏢 Version 1
📍 Mumbai