Software Engineer - Evaluation Framework

Overview

Software Engineer - Evaluation Framework
About the Role

ABOUT US

Our mission is to empower researchers, traders, asset managers, and risk managers to make better decisions in financial markets.

We have built an agentic solution that delivers data and analytics to users, helping them generate insights in seconds instead of hours through traditional means.

The company is backed by Y Combinator and has raised $5 million in funding.

Our solid team has experience at Goldman Sachs, Amazon, Tata Capital, Paysense, and leading institutions such as IITs and Purdue.

We are a product-focused organization, and our engineering team is at its heart. Our engineers thrive on innovation and the freedom to experiment and build impactful solutions.

RESPONSIBILITIES

We’re on a mission to make financial data more actionable. We’re looking for a Software Engineer who is excited to build an evaluation framework. The engineer will own this framework and be responsible for ensuring quality control as we scale.

What will you do?

Design and maintain the evaluation framework for agentic workflows

Create and manage datasets and ground truth (programmatic + human-in-the-loop), including drift detection

Collaborate closely with business teams to understand real-world cases and build a relevant evaluation framework

What will you bring?

Strong Python and SQL skills

Curiosity to explore AI tools early and iterate quickly

WHY JOIN US?

Small, fast-moving team → lots of ownership

Real impact at the intersection of finance and technology

Freedom to experiment and grow with us

About the Interview

The interview process is designed to evaluate both your technical ability and cultural fit. We prefer engineers who can work independently and have strong problem-solving skills.

The process includes one phone screener followed by 2–3 technical rounds:

Phone screener (15 minutes): Overview of the company and alignment with your career goals

Technical rounds: Assessment of problem-solving, design, and execution abilities

About Us

We are building agentic AI for fixed-income research, portfolio optimization, and credit analysis. Our tools make financial analysis faster, more cost-effective, and capable of unlocking insights that were previously not possible manually.

Our 30-person team, primarily composed of engineers and sales professionals, works closely to identify user problems in financial analysis that can be solved using AI.