Job Description

Role Overview

As a Senior/Staff AI Full Stack Engineer on the AI products team, you will design, build, and ship production-grade applications powered by customers AI platform. Your focus is on turning that platform into real products, either by building applications from scratch or by helping teams take their AI prototypes to production.

You are a product-minded, full stack engineer who is equally comfortable building a React frontend, a Python backend, and the CI/CD pipeline that ships it. You will act as a trusted advisor to teams across customer, guiding them on best practices at the start of a prototype, and hands-on when it's time to harden and scale that prototype into a production application. You take end-to-end ownership of development, from application code through to the infrastructure, CI/CD, and deployment that runs it reliably in production, owning the software and infrastructure engineering that gets a product shipped and kept live.

Key Responsibilities

Product Engineering, Build

- Need 7+ years of experience.
- Design and build full stack AI-powered applications from scratch, consuming their AI platform (AgentCore, Bedrock, SageMaker) as the underlying intelligence layer
- Build responsive, production-quality frontends in React that deliver a outstanding user experience for AI-driven features
- Build robust, scalable backend services in Python that integrate with LLMs, agentic workflows, and enterprise data sources
- Design and implement data layers using PostgreSQL,



Databricks, and Redis as appropriate for the use case

Prototype-to-Production

- Partner with product and engineering teams to take existing AI prototypes and re-architect, harden, and scale them into production-ready applications
- Identify and remediate gaps in security, scalability, reliability, and performance before go-live
- Work within customer's CI/CD pipelines using Kubernetes and Terraform to ensure applications are deployed, versioned, and scaled reliably
- Implement automated testing and observability (logging, metrics, tracing, alerts) so applications are supportable in production

Product Advisory & Best Practices

- Act as the go-to advisor for teams starting new AI prototypes, providing early guidance on customer's architectural and product best practices
- Define and evangelize reusable patterns, templates, and starter kits for building on the AI platform
- Review prototype architectures and provide clear, actionable recommendations to reduce rework later in the lifecycle
- Bring a product mindset, balancing user needs, technical feasibility, and time-to-market when advising teams

Collaboration & Enablement

- Work closely with the AI Tech team to stay current on Bedrock platform capabilities and roadmap
- Collaborate with business stakeholders to translate real-world problems into shippable AI product features
- Mentor engineers across teams on full stack best practices for building AI-powered products

📌 AI Full-Stack Engineer (Mumbai)
🏢 Version 1
📍 Mumbai