AI/ ML Engineer

GoodScore is on a mission to make financial literacy and credit access simple, actionable, and inclusive for over 150 million Indians who are credit-underserved. From starting personalized credit consulting in 2023 to now, empowering over 5 million users to take control of their credit health, we are one of India’s fastest-growing credit score & credit management apps. We are backed by leading VC funds in India, consistently ranked among the top 10 finance apps in the country, and are currently on a 1x to 100x growth journey. We’re building a high-impact team that shares our vision of transforming how India understands and manages credit—and this is only the beginning.

A few resources and highlights that may be helpful for a quick introduction to Goodscore:

• Overview of our recent Series A fundraise
• Podcast featuring our founder, Sanchit Bansal, sharing his vision for Goodscore
• High-ownership culture offering opportunities to build and scale from zero-to-one and one-to-many
• Technology-driven product delivering real, measurable impact on users’ financial lives

About the Role:

We are building an AI-first fintech platform focused on solving real, high-impact problems across credit, risk, fraud, personalization, and financial inclusion. As an AI Engineer, you will work at the intersection of machine learning, data engineering, and build and deploy scalable AI systems used by millions of users.

Working alongside the founder, Sanchit Bansal, this is a hands-on engineering role & you will take models from experimentation to production, ensuring reliability, performance, and business impact. You’ll be building ML/AI models for use cases such as credit scoring, fraud detection & risk monitoring, user segmentation & personalization, etc.

Key Responsibilities

• Design and implement scalable back-end systems for AI applications
• Develop and optimize AI agent systems and workflows using modern agent frameworks
• Integrate automations and other functionality into our core platform
• Build robust APIs and services that power our AI features
• Implement and maintain efficient data pipelines for AI model training and inference
• Contribute to technical architecture decisions and best practices
• Collaborate with PMs and front-end developers to create seamless AI experiences

Required Skills & Qualifications:

• 1-5 years of professional software engineering experience
• Strong usage or adaptation to AI technologies/ tools
• Experience building and deploying production-grade back-end services
• Understanding of AI/ML concepts and integration patterns