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QA Engineer (SDET) — AI, Data & Platform Quality

San Francisco, California, United States · Remote OK

Mid level

Programmatic QA • Testing for LLMs & Agents • Data Quality • Platform Reliability About Finalytics.ai Finalytics.ai is the leading provider of personalization for the financial industry. Our platform combines data integr…

Skills: Python, Pytest, Playwright, SQL, API Testing

Extractable logo

QA Engineer (SDET) — AI, Data & Platform Quality

Extractable

San Francisco, California, United States • Remote OK

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Mid level

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  • Full-time
  • Posted 8d ago
  • ~40 hrs/week
  • Remote in San Francisco, California, United States

Responsibilities

Build and maintain automated testing frameworks for core personalization features, LLM-driven agents, and data pipelines. Collaborate with engineering to implement quality gates and monitor platform reliability and performance.

Requirements

Requires 3+ years of experience in QA/SDET with strong Python and browser automation skills. Candidates must be data-savvy with SQL proficiency and a strong interest in testing non-deterministic AI systems.

Full job description

Programmatic QA • Testing for LLMs & Agents • Data Quality • Platform Reliability

About Finalytics.ai

Finalytics.ai is the leading provider of personalization for the financial industry. Our platform combines data integrations, machine learning, and real-time technology to make digital experiences more relevant and higher-converting for credit unions and banks. We're a growing startup led by industry veterans, building the next generation of AI-driven personalization.

Why This Role Is Different

QA at Finalytics goes well beyond clicking through a UI. Our platform makes model-driven decisions, runs LLMs and agents that generate content and answer questions, and depends on data pipelines that feed those models every day — and all of it has to be tested programmatically.

We're looking for an engineering-minded QA team contributor to help build quality across three areas: our core personalization features, our LLM and agentic capabilities, and the data that powers them. This is a coding role, embedded in the same repo and release flow as our engineers that will report directly to the CTO. You won't just find bugs — you'll build the automated tests, evals, and data checks that let a small team ship trustworthy AI every sprint.

Our stack is Python/Django with a JavaScript personalization tag, backed by MySQL, Celery, BigQuery, and AWS.

What You'll Do

1. Programmatic QA of Core Features

  • Extend our scenario test runner — a proprietary harness that captures real production personalization requests and replays them across environments, asserting on expected algorithms and content selection. Grow it into automated regression across every client.
  • Write automated tests in Python with pytest across our tiers — unit, integration, HTTP, and end-to-end.
  • Build headless Playwright end-to-end tests to verify how personalized content and tracking render on real client pages.
  • Harden the pre-deploy quality gate and pre-commit checks that block bad changes automatically.

2. Testing & Standardizing LLMs and Agents

  • Design evals for non-deterministic AI features — our conversational analytics assistant, AI content builders, and generative SEO — measuring correctness, grounding, and regression across prompt and model versions.
  • Test the tool-calling and agentic layers — that function-calling loops pick the right tools and guardrails hold on adversarial input.
  • Validate our agent/MCP interface — contract conformance, rate limiting, authorization, and safe failure.
  • Help set our standards for shipping AI — catching hallucinations and drift, and benchmarking prompt/model changes before clients see them.

3. Data Quality Engineering

  • Build automated data-health checks that flag stale rollups, incomplete coverage, and broken aggregations before they hit a client dashboard.
  • Validate data pipelines end-to-end — rollups, funnel/rate/financial ingestion, and BigQuery — with drift detection across environments.
  • Guard model inputs so the signals our ML depends on stay accurate and complete.

4. Reliability & Performance

  • Track platform performance — response times, JS load, and page speed — and help keep it fast.
  • Stand up quality dashboards — uptime, coverage, data-health, and eval scores.

5. Collaboration & Bug Lifecycle

  • Work in the codebase alongside engineers to diagnose issues across development, release, and deployment.
  • Drive the bug lifecycle — reproduce, capture with a failing test, and verify the fix.

What We're Looking For

  • 3+ years in QA/SDET or test automation with a code-first approach.
  • Strong Python — you write clean test code and can read the app you're testing.
  • pytest (preferred) and browser automation (Playwright or Selenium).
  • API and contract testing experience.
  • A genuine interest in testing AI — comfortable with non-determinism, evals, and prompts.
  • Data-savvy — strong SQL, and the instinct to validate pipelines and reconcile data.
  • Building automated quality gates into the deploy and release process.

Nice to Have

  • Testing or evaluating LLM applications — evals, prompt regression, tool-calling agents, or MCP.
  • Data or analytics QA — BigQuery or ETL/rollup validation.
  • Django, MySQL, or Celery experience.
  • Security testing with SAST/DAST tooling.
  • Familiarity with machine learning.
  • Financial industry, personalization, or CMS/marketing-platform experience.
  • Familiarity with AWS.
  • SaaS startup experience on a fast-moving, multi-tenant platform.

Why Finalytics

  • Frontier work — help define what QA means for AI, agents, and data-driven personalization in finance.
  • Direct impact — help shape how quality works across the platform, reporting straight to the CTO.
  • Automation-first culture — your work is code, in the same repo and release flow as engineering.
  • Remote-first, collaborative, low-ego team growing with a scaling fintech.

Related keywords

PythonDjangoJavaScriptMySQLCeleryBigQueryAWSPytestPlaywrightSeleniumLLMGenerative AIAgentsMCPData PipelinesETL

About Extractable

LinkedInVisit site

Extractable is a digital strategy, design, and data analytics consultancy focused on the future of financial services.

Industry
Financial Services
Company size
11-50 employees
Founded
1999
Headquarters
San Francisco, California
LinkedIn followers
4,217

The world’s gone digital. Still, some financial institutions are struggling to make the transition. As the leading strategic UX and customer insights consultancy for financial service organizations, our deep industry knowledge and extensive data-driven insights can help you turn every digital touch point into an opportunity for measurable business growth. We not only deliver analytics expertise and strategic, top-level planning, we’ll help you build engaging customer experiences that lead to positive outcomes for both you and your customer. We’ll help you identify the digital technology and backend support systems you need to seamlessly implement a solution across all customer channels. We can also provide a platform to monitor and gather customer engagement insights across all these channels—in real time—so you can make adjustments on the fly. Our services include: Deep data analysis and insights Experience design and development Back-office process redesign Customer research Marketing and branding Digital strategy, vision, and planning Strategic technology planning and implementation Consultation for implementing innovative programs

Offices: 44 Montgomery St, 3rd Floor, San Francisco, California 94104, US

Website Design & DevelopmentData-Driven DesignDigital MarketingResponsive DesignApplication DevelopmentUser Experience DesignBranding & Visual DesignContent Strategy & DevelopmentData & AnalyticsDigital Strategy
View all jobs at Extractable

About Extractable

LinkedInVisit site

Extractable is a digital strategy, design, and data analytics consultancy focused on the future of financial services.

Industry
Financial Services
Company size
11-50 employees
Founded
1999
Headquarters
San Francisco, California
LinkedIn followers
4,217

The world’s gone digital. Still, some financial institutions are struggling to make the transition. As the leading strategic UX and customer insights consultancy for financial service organizations, our deep industry knowledge and extensive data-driven insights can help you turn every digital touch point into an opportunity for measurable business growth. We not only deliver analytics expertise and strategic, top-level planning, we’ll help you build engaging customer experiences that lead to positive outcomes for both you and your customer. We’ll help you identify the digital technology and backend support systems you need to seamlessly implement a solution across all customer channels. We can also provide a platform to monitor and gather customer engagement insights across all these channels—in real time—so you can make adjustments on the fly. Our services include: Deep data analysis and insights Experience design and development Back-office process redesign Customer research Marketing and branding Digital strategy, vision, and planning Strategic technology planning and implementation Consultation for implementing innovative programs

Offices: 44 Montgomery St, 3rd Floor, San Francisco, California 94104, US

Website Design & DevelopmentData-Driven DesignDigital MarketingResponsive DesignApplication DevelopmentUser Experience DesignBranding & Visual DesignContent Strategy & DevelopmentData & AnalyticsDigital Strategy
View all jobs at Extractable

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