Software Engineer - India

At Dscout, we’re building the most flexible and powerful UX research platform on the market—trusted by the world’s top brands in finance, healthcare, consumer goods, and tech. Our tools help teams deeply understand the humans behind their products, so they can build better ones.

Building AI-native products is a different problem than building deterministic software: the same input won't always produce the same output. Good product engineering here means designing experiences that stay useful, trustworthy, and easy to understand even when the AI underneath doesn't behave the same way twice.

We're looking for a Software Engineer with 2-7 years of experience who thinks like a product owner, not just an implementer. You're comfortable being handed a vague, half-formed problem and figuring out what's actually worth building.

What you'll do

• 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
• Build product surfaces (web app flows, dashboards, in-product controls) that make AI-driven behavior understandable, controllable, and trustworthy
• Integrate LLM-based features and agent outputs into real product flows as building blocks
• Talk to users directly when needed and bring insights back into design and prioritization decisions
• Ship fast, instrument what you ship, and iterate based on real usage
• Collaborate with AI-focused engineers on deeper model or agent tuning when required
• Sweat the craft: interaction design, edge cases, error states, and overall user experience

What you bring

• 2-7 years of software engineering experience shipping full-stack product features to real users
• Comfortable working across the stack (frontend and backend)
• A track record of taking a vague, underspecified problem and shipping something real without a fully-scoped ticket
• Genuine empathy for users and understanding of what they are trying to achieve
• Working fluency with LLM-based systems: built features on top of LLM APIs or agents with an understanding of prompting and non-determinism
• Strong product judgment and ability to reason about tradeoffs
• Comfortable using design systems to independently make good UX calls on smaller details
• Comfort using AI coding tools (Cursor, Claude Code, Copilot, or similar) in your workflow
• High agency and a bias toward shipping

Nice to have

• Experience building product features on top of conversational or voice AI
• Familiarity with LLM observability/eval tooling
• Experience partnering closely with UX research or qualitative research teams
• Direct experience talking to users or running lightweight user research yourself