Software Engineer - India

Own end-to-end delivery of product features — from an ambiguous problem statement to shipped, working software real researchers and participants use

Partner directly with Product and Design to help define what should be built, not just how to build it

Use our design system to make sound, independent calls on smaller UX and interaction decisions, and know when a change is big enough to loop Design in

Build the product surfaces (web app flows, dashboards, in-product controls) that make AI-driven behavior understandable, controllable, and trustworthy for the people using it

Integrate LLM-based features and agent outputs into real product flows — treating them as a building block you design around, not infrastructure you need to own

Talk to users directly when you need to; bring what you learn back into design and prioritization decisions

Ship fast, instrument what you ship, and iterate based on real usage rather than a fixed spec

Collaborate with AI-focused engineers on deeper model or agent tuning when a feature's behavior depends on it

Sweat the craft: interaction design, edge cases, error states, and how the feature actually feels to use

2-7 years of software engineering experience shipping full-stack product features to real users

Comfortable working across the stack (frontend and backend) and picking up whatever's needed to ship

A track record of taking a vague, underspecified problem and shipping something real without a fully-scoped ticket

Genuine empathy for users: you default to understanding what someone is actually trying to do, not just what the ticket says

Working fluency with LLM-based systems: you've built features on top of LLM APIs or agents and understand prompting and non-determinism well enough to design good product experiences around them