Software quality engineer (US)

Writer

$120K — $150K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in software quality assurance or engineering, focusing on AI/ML applications.
  • Proficiency in programming languages like Python or Typescript for test automation.
  • Understanding of AI/ML concepts, especially related to generative AI testing.
  • Experience with cloud platforms and containerization technologies in CI/CD environments.
  • Exceptional analytical skills to identify and solve complex problems.
  • A collaborative mindset to connect teams towards common quality goals.
  • Ability to drive initiatives independently in a fast-paced startup environment.

Responsibilities

  • Define and implement quality assurance strategies for LLM-powered applications.
  • Design and develop scalable automation frameworks for testing.
  • Collaborate with cross-functional teams to translate AI features into test cases.
  • Drive improvements in testing processes and CI/CD integration for quality releases.
  • Identify and document software defects, tracking them through resolution.
  • Monitor production and AI model performance, ensuring post-release quality.
  • Champion quality practices across engineering teams for better AI solutions.

Benefits

  • Generous PTO plus company holidays
  • Comprehensive medical, dental, and vision coverage
  • Paid parental leave (16 weeks) for all parents
  • Support for fertility and family planning
  • Early detection cancer testing through Galleri
  • Flexible spending and dependent FSA options
  • Health savings account with company contributions
  • Annual wellness and development stipends
  • Company-wide and team off-sites
  • Competitive compensation with stock options and 401k
Full Job Description
About the role

Are you passionate about ensuring the highest quality for cutting-edge generative AI applications? As a software quality engineer at WRITER, you'll play a critical role in shaping the reliability, performance, and trustworthiness of our AI-powered work orchestration platform. You'll be at the forefront of defining and implementing rigorous quality strategies for our enterprise-grade LLMs and AI agents, directly impacting how hundreds of global companies unlock transformational value through AI. This is a unique chance to dive deep into the unique challenges of AI quality assurance and make a tangible difference in a rapidly evolving field.

This is a hybrid role based out of our London, San Francisco, Seattle, and New York City hubs. You will report directly to the director of engineering.

What you'll do
  • Define and implement comprehensive quality assurance strategies and test plans for our AI agents and LLM-powered applications, ensuring exceptional product reliability and performance.
  • Designing and developing automation frameworks: creating robust, scalable, and maintainable automated test frameworks from scratch or enhancing existing ones. You'll need proficiency in at least one language like Typsecript, Python.
  • Collaborate closely with product managers, machine learning engineers, and data scientists to understand complex AI features and model behaviors, translating them into effective test cases and validation criteria.
  • Drive the continuous improvement of our testing processes and infrastructure, integrating automated checks within our CI/CD pipelines to ensure rapid, high-quality releases.
  • Identify, document, and track software defects and inconsistencies, performing root cause analysis to provide actionable feedback to development teams.
  • Monitor production systems and AI model performance, proactively identifying potential issues and contributing to post-release quality validation.
  • Champion quality best practices across engineering teams, fostering a culture of ownership and continuous improvement in delivering world-class AI solutions.
  • Designing, managing, and maintaining test data strategies and mock services to ensure stable, isolated, and repeatable test execution.
  • Experience designing, developing, or integrating agentic AI systems, AI skills, and the Model Context Protocol (MCP).
  • Manage the full defect lifecycle by analyzing customer feedback and debugging logs to identify, prioritize, and track software bugs, collaborating closely with development teams to ensure timely resolution.


☆ What you need
  • 5+ years of hands-on experience in software quality assurance or engineering, with a strong focus on testing complex distributed systems or AI/ML applications.
  • Proficiency in programming languages like Python or Typescript for test automation, and experience with modern testing frameworks such as Playwright.
  • Solid understanding of AI/ML concepts, including model evaluation metrics, data pipelines, and the unique challenges of testing generative AI outputs.
  • Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) in a CI/CD environment is a big plus.
  • Exceptional analytical skills to dissect complex problems and a keen eye for detail, ensuring no bug goes unnoticed.
  • A collaborative spirit that helps you Connect cross-functional teams to common quality goals, Challenge existing assumptions to build better systems, and Own the end-to-end quality of our products.
  • Demonstrated ability to drive initiatives independently and thrive in a fast-paced, evolving startup environment.


Benefits & perks (US Full-time employees)
  • Generous PTO, plus company holidays
  • Medical, dental, and vision coverage for you and your family
  • Paid parental leave for all parents (16 weeks)
  • Fertility and family planning support
  • Early-detection cancer testing through Galleri
  • Flexible spending account and dependent FSA options
  • Health savings account for eligible plans with company contribution
  • Annual work-life stipends for:
    • Wellness stipend for gym, massage/chiropractor, personal training, etc.
    • Learning and development stipend
  • Company-wide off-sites and team off-sites
  • Competitive compensation, company stock options and 401k

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