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QA Lead for AI Systems

netrolynx ai • United State
Visa Sponsorship Relocation
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Lead the development of QA infrastructure and evaluation frameworks for AI and LLM systems. Design and implement automated testing, CI/CD quality gates, and regression tests for agent workflows. Ensure product reliability, safety, and compliance in a regulated life sciences environment.

Key Highlights
First dedicated QA hire to build the function from the ground up
Focus on evaluating LLMs, agent workflows, and non-deterministic AI systems
Hands-on engineering role requiring Python and Playwright expertise
Key Responsibilities
Develop and implement evaluation frameworks for large language models and agent-based systems to assess performance, safety, and compliance.
Design and maintain regression tests to monitor model updates, prompt modifications, and workflow changes.
Create automated testing infrastructure utilizing Python and Playwright for rapid and reliable test execution.
Own end-to-end testing processes for web applications and APIs, including functional, integration, and performance testing.
Establish and manage CI/CD quality gates, automating release workflows to facilitate smooth deployment cycles.
Conduct manual and exploratory testing on new features to identify unforeseen issues.
Monitor production systems, analyze failures, and develop repeatable tests to proactively address potential issues.
Test agent workflows for failure modes such as tool misuse, looping, hallucinations, and prompt injection.
Collaborate with engineering and product teams to define, implement, and uphold quality standards.
Build and scale the QA function from the ground up, establishing processes, best practices, and documentation.
Technical Skills Required
Python Playwright CI/CD
Benefits & Perks
Competitive base salary ranging from $160,000 to $300,000
Meaningful equity package
Comprehensive health benefits including medical, dental, and vision coverage
401(k) plan with company matching contributions
Visa sponsorship options available
Relocation support to New York City
Unlimited paid time off
Professional development stipend
Nice to Have
Experience working with agent frameworks such as LangChain, LangGraph, or similar tools
Familiarity with evaluation and monitoring tools like LangSmith, Langfuse, Arize, Braintrust, Promptfoo, or OpenAI Evals
Knowledge of TypeScript and React for testing front-end components and integrations
Experience with adversarial testing, red-team assessments, or security-focused testing methodologies
Backend development experience with asynchronous Python services and job queue management
Background working in regulated industries such as healthcare, pharmaceuticals, or finance
MLOps or LLMOps experience, including deployment, monitoring, and management of AI models in production

Job Description

Storm3 is a rapidly expanding Series A AI startup dedicated to revolutionizing the life sciences industry through innovative software solutions. Our platform leverages cutting-edge artificial intelligence to assist enterprise clients in creating, reviewing, and managing complex, regulated content efficiently and accurately. With a focus on integrating advanced language models, agentic systems, and applied AI, Storm3 is at the forefront of technological innovation in this sector. Our collaborations with leading organizations exemplify our commitment to transforming how regulated content is handled, ensuring compliance, quality, and speed. As a company, we foster a dynamic and inclusive environment that encourages innovation, continuous learning, and professional growth, aiming to set new standards in AI-driven solutions for the life sciences industry.
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