Senior Automation Test Engineer – AI Systems (f/m/x)

Sii Poland

Katowice

On-site

PLN 180,000 - 260,000

Full time

24 hours ago
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Job summary

Sii Poland is seeking a Senior QA Engineer to design and own quality for an AI-powered healthcare marketing platform. You will build evaluation pipelines, monitor AI/mL drift, and scale testing across a full-stack stack including Angular, Node.js, and Python services.

You will implement automated test scripts, create robust telemetry, and drive continuous quality gates in CI/CD. Strong English and senior QA experience in AI/ML are required.

Qualifications

  • Minimum 5 years in software testing or quality engineering, with at least 2 years in AI/ML applications or LLM workflows
  • Proficiency in Python for backend/AI testing scripts and familiarity with JavaScript/TypeScript for Node.js and Angular testing ecosystems
  • Experience with evaluation frameworks and metrics selection for classification or generation-quality problems
  • Familiarity with ML drift monitoring concepts and observability tools like Datadog or Grafana
  • Strong system-level design skills and ability to build production-grade test infrastructure
  • Advanced level of English

Responsibilities

  • Design, build, and maintain evaluation frameworks for LLMs and agentic harnesses
  • Develop automated scoring mechanisms and test suites for accuracy, reasoning reliability, and tool-use correctness
  • Simulate multi-step agent workflows to identify edge cases in autonomous decisions
  • Set up monitoring for data drift, concept drift, and model performance in production
  • Implement telemetry and alerting for latency, token usage, and cost efficiency
  • Own end-to-end testing strategy across the stack (Angular frontend, Node.js backend, Python microservices)
  • Write clean automated tests in Python and JavaScript/TypeScript
  • Perform API, integration, and performance/load testing for high-throughput microservices
  • Integrate AI evaluation into CI/CD for quality gates
  • Define and track KPIs for software reliability and AI model behavior

Skills

Python
JavaScript/TypeScript
English proficiency
System-level design

Tools

LangSmith
Langfuse
EvidentlyAI
Ragas
MLflow
Datadog
Grafana

Job description

We are looking for a Senior QA Engineer to join our team and contribute to building an AI-powered operating system for healthcare marketing. In this role, you will go beyond traditional end-to-end testing, owning quality, evaluation, and monitoring for complex AI systems. You will work on real-world production-grade products that create monetizable value, ensuring the stability of our full-stack architecture while designing and scaling AI evaluation pipelines and ML drift monitoring systems. If you are passionate about developing robust test and evaluation frameworks for modern systems powered by AI and ML, we want to hear from you.

Your tasks
  • Designing, building, and maintaining evaluation frameworks for Large Language Models (LLMs) and custom agentic harnesses
  • Developing automated scoring mechanisms, assertions, and test suites to measure agent accuracy, reasoning reliability, hallucination rates, and tool-use correctness
  • Simulating complex, multi-step agent workflows to uncover edge cases in autonomous decision-making
  • Collaborating with engineering teams to set up robust monitoring frameworks for data drift, concept drift, and model performance degradation in production
  • Implementing telemetry and alerting systems to track latency, token usage, cost efficiency, and output quality over time
  • Owning the end-to-end testing strategy across our entire stack, ensuring seamless integration between the Angular frontend, Node.js backend services, and Python-based AI microservices
  • Writing clean, maintainable, and scalable automated test scripts in Python and JavaScript/TypeScript
  • Performing rigorous API testing, integration testing, and performance/load testing for high-throughput microservices
  • Integrating AI evaluation and testing harnesses into our CI/CD pipelines to ensure continuous quality gate enforcement before deployment
  • Defining and tracking key quality metrics (KPIs) for software reliability and AI model behavior
Requirements
  • Minimum 5 years of experience in software testing or quality engineering, with at least 2 years focused on testing or evaluating AI/ML applications, LLM workflows, or agentic systems
  • Proficiency in Python for backend/AI testing scripts and familiarity with JavaScript/TypeScript for Node.js and Angular testing ecosystems
  • Experience with evaluation frameworks such as LangSmith, Langfuse, EvidentlyAI, Ragas, or MLflow, and the ability to select appropriate metrics for classification or generation-quality problems
  • Familiarity with ML drift monitoring concepts, metrics tracking, and observability tools like Datadog or Grafana
  • Strong system-level design skills and the ability to build production-grade test and evaluation infrastructure from the ground up
  • Advanced level of English
Nice to have
  • Understanding of agentic design patterns and their decomposition into testable units
  • Experience working under the regulatory conditions of healthcare systems

Job no. JOB-GTXQF

Sii ensures that all hiring decisions are made solely on the basis of qualifications and competence. We are committed to equal and fair treatment of all, regardless of legally protected characteristics. At Sii, we promote a diverse and inclusive work environment, in full compliance with applicable anti-discrimination laws.

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