Senior QA Engineer - AI
- Compensation
- Not disclosed
- Location
- India
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Full time
- Experience
- 1+ years
- Category
- Qa
- Posted
Skills
Must have
- At least 1 year owning quality for AI products in a lead or primary-owner capacity. This includes chatbots and conversational assistants, code or content generation products, and agentic systems. You
- Demonstrated hands-on experience building or operating an evaluation harness for an AI system, whether in-house or using a framework such as DeepEval, RAGAS or Promptfoo. You should be able to describ
Nice to have
- Experience with trading or exchange platforms, including familiarity with futures and options, crypto derivatives, margin, or settlement flows. Domain knowledge can be picked up on the job, but arrivi
Full description
About the Company
At Delta, we are reimagining and rebuilding the financial system. Join our team to make a positive impact on the future of finance.
🎯 Mission Driven: Re-imagine and rebuild the future of finance.
💡 Most innovative cryptocurrency derivatives exchange. With a daily traded volume of ~$ 10 billion, and increasing. Delta is bigger than all the Indian crypto exchanges combined.
📈 Offer the widest range of derivative products and have been serving traders all over the globe since 2018 and growing fast.
💪🏻 The founding team is comprised of IIT and ISB graduates. Business co-founders have previously worked with Citibank, UBS and GIC; and our tech co-founder is a serial entrepreneur who previously co-founded TinyOwl and Housing.com.
💰 Funded by top crypto funds (Sino Global Capital, CoinFund, Gumi Cryptos) and crypto projects (Aave and Kyber Network).
Senior QA Engineer - AI🎯 Role Overview
Delta operates three AI products used by live traders: a customer support chatbot, an API Copilot that generates and executes trading scripts, and an MCP server. This role owns the quality of those products and is responsible for measuring it objectively.
Testing probabilistic systems differs fundamentally from testing deterministic ones. The same input produces different output on every run, an incorrect answer can be entirely fluent, and a prompt change in one flow can degrade another without any visible signal. The core of this role is establishing what correct means for these systems, building the datasets and scoring that measure it, and operating the release gate that prevents a regression from reaching customers.
This is an emerging discipline with no established playbook. We are defining the methodology as we build it, and the role carries a high degree of autonomy and ownership.
🔬 What Sets This Role Apart
Most QA roles that mention AI mean using AI to do testing faster: generating test cases from a PRD, healing flaky selectors, exploring an app with an agent. Those are useful and we do them.
This role is the other thing. The system under test is itself an AI, and the hard problem is deciding whether its output is correct when the same question produces a different answer every time and a wrong answer reads as convincingly as a right one. That means building evaluation datasets, defining what correct looks like, scoring against it, and defending a number that decides whether a release ships.
If you have spent time on the second problem, this role is built for you.
🛠 Key Responsibilities
- Build and maintain golden datasets for our AI products, trace mined from production or generated, and verified against a documented source of truth.