AI Full-Stack Engineer

Version1; Mumbai; On-site; INR 4,000,000 - 6,500,000; Full time

Job summary

Version1 is hiring a Senior/Staff AI Full Stack Engineer to design, build, and ship production-grade AI-powered applications. You will own end-to-end development, from UI to data layer to deployment, and guide teams from prototype to production.

Responsibilities include building frontend in React, backend in Python, and managing CI/CD pipelines with Kubernetes and Terraform, ensuring scalable, secure, and reliable AI products.

Qualifications

• Experience building full-stack AI-powered applications.
• Proficient in React frontend and Python backend with modern APIs.
• Hands-on with AWS Bedrock/SageMaker or similar AI platforms.

Responsibilities

• Design and build full stack AI-powered apps from scratch.
• Develop responsive React frontends for AI features.
• Create scalable Python backend services integrating with LLMs.

Skills

React

Python

REST APIs

FastAPI

CI/CD

Git

AWS

LLMs

SSE/WebSockets

Tools

Kubernetes

Terraform

Docker

PostgreSQL

Databricks

Redis

SageMaker

Bedrock

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

• 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 great 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
• 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
• 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
• 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
• distinct from model-level evaluation owned by th

Mandatory Technical Skills

Frontend

• React (or similar component frameworks such as Angular, Vue, or Svelte)
• Experience building streaming UIs (SSE/WebSockets) for real-time AI response rendering, avoiding blocking/loading-only UX

Backend

• Python (primary; strong backend experience in a comparable language such as Go, Java, or Node.js considered if you're ready to work primarily in Python)
• REST APIs
• FastAPI (or similar async Python API framework s )

CI/CD & Infrastructure

• Kubernetes
• Terraform
• Docker
• Automated testing
• Git and modern branching/PR workflows

Databases & Data Platforms

• PostgreSQL
• Databricks
• Redis

AI & Product

• Strong product sense, able to advise teams on best practices and translate prototypes into scalable product architecture
• Comfortable working across the full stack, from UI to data layer to deployment pipeline

Cloud Platform

• Strong hands-on familiarity with AWS, with recent professional experience built primarily on the AWS stack (not just general cloud exposure)
• Comfortable working alongside AWS-native AI services (Bedrock, SageMaker, AgentCore)
• Experience with core AWS services relevant to full stack product delivery, e.g. EC2, ECS/EKS, Lambda, API Gateway, S3, IAM, CloudWatch, VPC/networking basics

Security

• Experience implementing AuthN/AuthZ (OAuth2/OIDC, SSO), RBAC, and secrets management in production applications

Soft Skills

• Strong communication skills; comfortable presenting architectural recommendations directly to engineering and business stakeholders

Nice to haves

• Domain
• Experience working within the financial services domain is preferred
• Prior experience across Capital Markets, Digital Assets/Crypto, or AI infrastructure is highly desirable
• AI & Product
• Experience building applications on top of LLM/agentic AI platforms (e.g. AWS Bedrock, SageMaker, or equivalent)
• Familiarity with vector databases and embeddings for AI-powered search/retrieval features
• Ability to evaluate AI feature quality from a product/UX lens (accuracy, latency, hallucination handling, graceful degradation), distinct from model-level evaluation owned by th