Senior Full-Stack Engineer - Enterprise AI

Role: Senior Full-Stack Engineer

Location: Mumbai, India

Employment Type: Full-time

Experience Level: 5+ years of professional software engineering experience

Work Model: Hybrid, with three days per week in the Mumbai office

Why Join the Team?

You will build and support applications used by asset management clients, including a private equity dashboard and related enterprise software.

This is a hands-on role with ownership of complex features and application changes from requirements and design through deployment and production support. You will work across the Python backend, React frontend, APIs, integrations, and database layer while making sound engineering trade-offs and delivering maintainable software.

You will also have the opportunity to use AI-enhanced development tools such as Claude and Codex across design, implementation, testing, debugging, and code review.

As a Senior Full-Stack Engineer, You Will

Build Full-Stack Features

Design and deliver production features using Python and React, taking ownership of complex implementation decisions.

Develop Backend Services

Build and maintain Python backend applications, services, and APIs.

Build User Interfaces

Develop responsive and usable web applications with React.

Own Delivery End to End

Translate requirements into technical designs, identify dependencies, and drive delivery through testing, release, deployment, and production support.

Build Enterprise Integrations

Implement integrations across APIs, relational databases, and enterprise systems.

Support Production Applications

Investigate issues, contribute to root cause analysis, support deployments, and help maintain reliable production applications.

Maintain Engineering Quality

Write automated tests, participate in code reviews, maintain clear technical documentation, and take ownership of code quality, security, and correctness.

The Anti-Sell

Hands-on engineering: This is not a role for someone who primarily coordinates work or implements specifications without owning the underlying problem. You will be expected to design, build, test, deploy, and support production software.

Full-stack ownership: You should be comfortable working across Python backend services, React applications, APIs, databases, authentication, testing, and deployment.

Independent judgment: You will be expected to evaluate trade-offs, diagnose complex problems, ask the right questions, and move work forward with minimal direction.

AI-assisted development with accountability: You may use Claude, Codex, and other AI development tools, but you remain responsible for evaluating their output and ensuring the resulting code is secure, correct, maintainable, and production-ready.

Our Senior Full-Stack Engineers Typically Have

Production full-stack experience: A track record of delivering production full-stack applications and taking technical ownership of complex features.

Python backend expertise: Hands-on experience building backend applications, services, and APIs with Python.

React experience: Hands-on experience building and maintaining production web interfaces with React.

Enterprise application fundamentals: Experience with authentication, application design, testing, deployment, SQL, data modeling, and relational databases.

Integration and cloud experience: Experience integrating applications with APIs and enterprise systems, deploying applications on a cloud platform, and supporting production systems.

AI-enhanced software development: Practical experience using Claude, Codex, or similar tools across the software development lifecycle, with the judgment to evaluate AI-generated code and maintain ownership of quality, security, and correctness.

Clear communication: The ability to collaborate effectively with engineers, business stakeholders, and cross-functional teams.

Candidates whose experience is limited to prototypes, isolated frontend work, or work without production ownership will not be a fit for this role.

Top-Tier Candidates Will Have

Experience building and testing AI agents that combine large language models with tools or APIs to support multi-step workflows.

Experience evaluating agent outputs and handling failures.

Experience building software for financial technology, asset management, or other enterprise environments.

Demonstrated interest in financial technology and solving complex engineering challenges.

Values