AI/ML Engineer (machine learning)

About the Role

We are looking for a passionate and technically strong AI/ML Engineer to join our core team driving the intelligence behind our lending platform. This is a role where you'll build high-performance ML frameworks, scale decision systems, and lay the foundation for the next evolution: agentic AI systems that autonomously extract insights, support business decisions, and power internal copilots. If you are someone who enjoys solving hard problems at the intersection of software engineering and ML, and are excited about the future of AI agents in real-world systems, we want to hear from you.

What You'll Do

Own and evolve core frameworks powering the loan decision-making process across the company

Design, develop, and optimize scalable ML infrastructure and software frameworks that integrate seamlessly with production systems

Partnering with senior engineers and domain leads to lay groundwork for agentic systems from auto-insight generation to internal decision copilots (e.g., AI for BI)

Help develop data and model lifecycle: from ingestion and feature engineering to deployment and monitoring

Build generalized systems that support multi-tenant use across verticals be it policy or data for analytics

Continuously monitor production performance to ensure that live systems behave as expected, and proactively propose improvements

Document learnings, scale reusable patterns, and drive adoption of best practices in ML system design

You should apply if you

Have 4+ years of experience building production-grade software systems in Java / Scala / Python

Have familiarity with ML lifecycle and deployment practices, even if not deep modeling experience

Exhibit deep business understanding by translating technical capabilities into impactful solutions, ensuring that frameworks contribute directly to business outcomes

Are comfortable working in a fast-paced, startup environment and taking end-to-end ownership

Possess a strong sense of compounding, capable of building modular, iterative solutions that grow in capability over time, especially in the context of Agentic AI frameworks

Must Have

3+ Hands-on experience with developing frameworks from scratch: SDKs, or platforms that serve multiple internal teams

Strong grasp of OOP design, system architecture, and ML pipeline design

Demonstrated ability to take a messy real-world problem and build reliable, scalable systems around it

Builds both production-grade systems and internal frameworks that enhance team productivity, with a focus on delivering overall impact

Proven ability to work in a cross-functional environment comprising of Data Scientists, Business Analysts, Product managers and Data Engineers