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 (JP Morgan Chase, Intuit, Charles Schwab, PayPal), healthcare (Aya, Headspace), consumer goods (Keen, Verizon, Target, Northface), and tech (Google, Amazon, Facebook, Meta, Spotify, AirBnB). Our tools help teams deeply understand the humans behind their products, so they can build better ones. We are expanding our smart and driven team and would love for you to join us.
AI native product is fundamentally different engineering problem than building deterministic software: the same input won't always produce the same output, and "working" means the agent behaves well across the full distribution of real world scenarios, not that it passes a fixed test suite.
We're looking for an Applied AI Engineer with 2-5 years of experience building and shipping AI systems used by professionals at enterprise. You're comfortable working with contemporary LLM-based systems and agentic workflows, and you know how to turn powerful models into reliable product features.



You have strong product judgment and think deeply about tradeoffs between LLM approaches and traditional ML when designing solutions. You care about evaluation, iteration speed, and making sure AI systems actually drive measurable business impact reliably.
What you'll do
Own the production improvement loop across agent behavior, customer and operator feedback, evaluation, experimentation, and verified business outcomes
Instrument agent workflows so model interactions, tool use, decisions, failures, human edits, and downstream outcomes can be understood in context
Define meaningful quality standards, representative evaluation datasets, regression coverage, and production monitoring.
Investigate why agents underperform across context, knowledge, instructions, tools, routing, guardrails, or workflow design
Design and ship targeted behavior improvements, including changes to prompting, context co

📌 Applied AI Engineer (India)
🏢 Dscout
📍 India