Senior QA Engineer - AI
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As a Senior QA Engineer - AI at Delta Exchange, you own the quality of three AI products used by live traders: a customer support chatbot, an API Copilot that generates and executes trading scripts, and an MCP server. You are responsible for measuring quality objectively. Testing probabilistic systems differs fundamentally from testing deterministic ones. The same input produces different output on every run, an incorrect answer can read 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.
What you'll do
- Build and maintain golden datasets for AI products, trace mined from production or generated, and verified against a documented source of truth
- Design layered scoring for AI outputs: deterministic rules where behaviour can be asserted, and model-graded evaluation where it cannot
- Manage evaluation runs end to end, schedule and execute them against release candidates, compare results against prior baselines, and triage failures into product defects, incorrect expectations, and platform issues
- Own and operate the release gate that determines whether a prompt or model change is approved for production
- Identify failure modes ahead of customers, including hallucination, incorrect tool selection, loss of context across conversation turns, and PII exposure
- Investigate production traces to distinguish retrieval failures from generation failures from tool failures
- Convert findings into actionable engineering evidence and into permanent regression coverage
- Define and report quality metrics for AI surfaces, and drive improvement against them
What you bring
- At least 1 year owning quality for AI products in a lead or primary-owner capacity, including chatbots and conversational assistants, code or content generation products, and agentic systems. You should have worked directly with prompts, tool and function schemas, and model behaviour, rather than testing around them
- 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 describe what the harness measured, the results it produced, and the decisions those results informed
- 4-6 years of QA or SDET experience
- Working proficiency in Python for evaluation platform, trace analysis and internal tooling
- Ability to analyse traces and tool calls using observability tooling such as Opik, Langfuse or LangSmith or an equivalent, to determine root cause rather than reporting the symptom
- Strong API testing experience, as the majority of the surface under test is API-level
- Sufficient engineering ability to build your own tooling and automation
- Clear written communication to document findings in a form engineering can act on directly
Nice to have
- Experience with trading or exchange platforms, including familiarity with futures and options, crypto derivatives, margin, or settlement flows
About Delta Exchange
Delta Exchange is a cryptocurrency derivatives exchange with a daily traded volume of approximately $10 billion, serving traders globally since 2018. The founding team comprises IIT and ISB graduates, with business co-founders who previously worked at Citibank, UBS and GIC, and a tech co-founder who is a serial entrepreneur. The company is backed by top crypto funds including Sino Global Capital, CoinFund and Gumi Cryptos, as well as crypto projects Aave and Kyber Network.
Context for this role
From the live jobs we track on CryptoJobsHQ, updated daily.
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