what will you 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 3+ years of experience building production-grade software systems in java / scala / python you have familiarity with ML lifecycle and deployment practices, even if not deep modeling experienceyou exhibit deep business understanding by translating technical capabilities into impactful solutions, ensuring that frameworks contribute directly to business outcomes you are comfortable working in a fast-paced, startup environment and taking end-to-end ownership you 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 
