Product Engineer – AI-Powered SaaS Products

Team Back Office International; Kerala; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

Team Back Office International is seeking a hands-on Product Engineer to build, test, and launch modern SaaS products using AI-powered tools. You will take concepts through production, applying strong programming fundamentals, product thinking, and AI-assisted development.

The role spans requirements analysis, architecture, development, testing, deployment, monitoring, and continuous improvement. The ideal candidate will work across frontend and backend stacks, design scalable data models,

Qualifications

• Proven experience building SaaS products from concept to production.
• Strong programming fundamentals and system design skills.
• Experience with modern JS/TS and Python ecosystems.
• Ability to collaborate with product, design, and engineering teams.

Responsibilities

• Build end-to-end SaaS applications from MVP to production.
• Translate requirements into scalable technical solutions.
• Develop frontend, backend, and database schemas.
• Implement multi-tenant architecture and billing where needed.
• Collaborate with AI tools to accelerate development while maintaining quality.
• Design maintainable architectures and reusable components.
• Write tests and participate in CI/CD deployments.

Skills

JavaScript/TypeScript

Python

React

Next.js

Vue.js

FastAPI

Django

Node.js

AI coding tools

Code quality and security

Tools

Claude Code

OpenAI Codex

GitHub Copilot

Cursor

Job description

About the Role

We are looking for a hands-on Product Engineer who can build, test, and launch modern SaaS products using AI-powered development tools and contemporary software engineering practices.

The ideal candidate should be capable of taking a product idea from concept to a working, production-ready application. This role requires strong programming fundamentals, product thinking, and the ability to use AI coding assistants effectively to accelerate development without compromising code quality, security, or maintainability.

The engineer will work across the full product lifecycle, including requirements analysis, architecture, development, testing, deployment, monitoring, and continuous improvement.

Key Responsibilities1. SaaS Product Development

• Build and maintain end-to-end SaaS applications, from MVP to production.
• Translate business requirements and product ideas into technical solutions.
• Develop responsive web applications, backend APIs, database schemas, and integrations.
• Implement multi-tenant architecture, authentication, role-based access control, subscriptions, and billing where required.
• Build reusable components and modular services that support future product expansion.
• AI-Assisted Software Engineering
• Use AI coding tools such as Claude Code, OpenAI Codex, GitHub Copilot, Cursor, or equivalent tools to accelerate development.
• Write effective prompts and provide sufficient context, specifications, and constraints to AI coding agents.
• Use AI for code generation, debugging, refactoring, test generation, documentation, and code reviews.
• Review and validate AI-generated code before merging or deploying it.
• Identify hallucinations, insecure implementations, unnecessary dependencies, and architectural inconsistencies in AI-generated solutions.
• Build reliable development workflows that combine AI-assisted coding with human engineering judgment.
• Technical Architecture and Engineering Quality
• Design maintainable frontend and backend architectures.
• Write clean, modular, reusable, and well-documented code.
• Design efficient database structures and optimize queries.
• Implement API integrations, background jobs, webhooks, caching, and asynchronous processing where appropriate.
• Apply secure coding practices, data validation, error handling, and access controls.
• Ensure scalability, performance, reliability, and maintainability.
• Testing and Verification
• Write unit tests, integration tests, and end-to-end tests.
• Validate actual application behaviour rather than relying only on successful code generation or compilation.
• Reproduce and fix bugs using logs, debugging tools, and monitoring systems.
• Verify critical workflows, especially authentication, payments, data access, and database migrations.
• Maintain quality gates before releases.
• Deployment and Operations
• Work with Git-based workflows, pull requests, code reviews, and CI/CD pipelines.
• Deploy applications to cloud platforms such as AWS, or equivalent infrastructure.
• Configure environments, secrets, domains, databases, and application services.
• Monitor production errors, application performance, and system health.
• Troubleshoot deployment issues and support production releases.
• Product Thinking and Collaboration
• Collaborate with product owners, designers, developers, and business stakeholders.
• Convert user problems into practical product features.
• Build and validate MVPs quickly while avoiding unnecessary complexity.
• Participate in technical discussions, sprint planning, and product reviews.
• Take ownership of assigned features from requirement clarification to production delivery.

Required Technical Skills

• Strong programming fundamentals in JavaScript/TypeScript, Python, or comparable languages.
• Experience building web applications using frameworks such as React, Next.js, Vue, FastAPI, Django, Node.js, or equivalent technologies.
• Practical experience designing and…