April 12, 2026

QA Engineer

Mid • Remote

Warsaw, Poland

Andersen is hiring a QA Engineer to ensure quality and stability of a secure cloud platform with collaboration and analytics features, supporting continuous improvements and reliable product delivery. 

The customer is an international company delivering professional and technology-enabled solutions that support effective collaboration, structured communication, and operational efficiency for organizations. It operates in a fast-growing environment, focusing on scalability, security, and continuous improvement while developing digital platforms used by diverse clients worldwide. 

The project is focused on enhancing a secure, cloud-based board management platform with intuitive meeting tools, real-time collaboration, and advanced analytics. It also includes building and maintaining scalable AI infrastructure, orchestration patterns, and observability to ensure reliable and intelligent platform performance. 

Responsibilities: 

- Designing test cases for non-deterministic AI systems. 

- Executing evaluation runs against AI workflows using LangFuse.  

- Validating AI outputs against acceptance criteria and business rules.  

- Building and maintaining regression test suites for AI features.  

- Identifying edge cases and failure patterns in AI behavior.  

- Triaging and documenting accuracy/quality issues.  

- Monitoring production quality metrics and flag degradation.  

- Partnering with AI Engineer on test data curation and quality thresholds. 


Must-have: 

- Experience as a QA Engineer or in a similar role for 3+ years. 

- Experience testing AI/ML or other non‑deterministic systems, with an understanding of probabilistic outputs and variability in model behavior.  

- Solid knowledge of QA methodologies adapted for AI workflows, including evaluation‑based testing, scenario testing, and semantic validation.  

- Hands‑on experience designing test cases for systems without fixed expected outputs, using acceptance criteria, heuristics, and quality thresholds. Experience executing evaluation runs with 

- AI observability or evaluation tools (experience with LangFuse is a strong advantage).  

- Ability to validate LLM outputs against business rules, prompt requirements, safety guidelines, and product acceptance criteria.  

- Experience building and maintaining regression suites for AI features (prompt regressions, dataset-based regressions, workflow regressions).  

- Ability to identify edge cases, emergence patterns, and failure modes in AI behavior (e.g., hallucinations, inconsistency, bias, context loss).  

- Experience documenting issues with detailed repro steps, evaluation evidence, logs, and accuracy/quality metrics.  

- Ability to work with JSON, API tools (Postman, Swagger), and logs from AI systems. 

- Level of English – from Upper-Intermediate and above. 


Nice to have: 

- Exposure to evaluation frameworks (LangFuse evals, Ragas, TruLens, or internal evaluators).   

- Understanding of key LLM quality metrics such as accuracy, precision/recall, semantic similarity scores, or custom evaluation metrics.  

- Familiarity with production monitoring dashboards or telemetry tools to detect quality degradation.  

- Basic understanding of LLMs, embeddings, RAG workflows, and prompt-based systems.  

- Experience with test data curation, labeling, or annotation processes. 


 Reasons why this job would be interesting to you: 

- Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc.. 

- The opportunity to change the project and/or develop expertise in an interesting business domain. 

- Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant. 

- Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee. 

- The opportunity to earn an additional up to 1,000 USD per month by participating in the company's activities. 

- Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated. 

- Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies). 

- Certification compensation (AWS, PMP, etc). 

- Referral program. 

- English courses. 

- Private health insurance and compensation for sports activities. 

 

Join us! 

Your personal data is protected in accordance with GDPR regulations. Learn more: https://andersenlab.com/privacy-policy/pl

 

https://people.andersenlab.com/ 

 

 

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Warsaw, Poland

1,700 - 3,300 USD

🏢 Summary: The offer is for a Full Stack QA Engineer to ensure quality of an AI-powered platform that enables businesses to build and deploy AI agents without technical expertise. The role combines testing of LLM-based features and agent workflows with classical UI, API, and integration QA. It includes designing automated tests and validating reliability of intelligent automation solutions in a modern engineering environment. 🗂️ Requirements: 3+ years of QA experience across UI, API, and integration testing, Understanding of LLM-based systems and prompt evaluation, Experience testing AI-driven features and agent workflows, Experience with test automation, English proficiency at Intermediate+ level 📃 Skills: QA, Testing, UI, API, Integration, LLM, Prompting, Automation, Python, AI 🏢 Description: Andersen is hiring a Full Stack QA Engineer for a project developing AI-powered platforms and ensuring quality across intelligent automation solutions. The customer is a technology-focused company specializing in AI-driven solutions and digital innovation for businesses across multiple industries. The organization develops intelligent platforms and automation tools designed to improve operational efficiency, streamline workflows, and support data-driven decision-making. The company operates in an international environment with a strong focus on scalable architecture, modern engineering practices, and the practical implementation of advanced AI technologies. The project is focused on developing a platform for creating AI agents without technical expertise. It enables businesses to deploy plug-and-play AI assistants that handle communication, reporting, analysis, and collaboration tasks across channels such as email, phone, etc. Responsibilities: Testing AI/agent-based product features, including LLM logic and agent workflows. Evaluating prompt quality, model responses, and overall output reliability. Performing classical QA: UI, API, and integration testing. Designing and maintaining automated tests for both AI-driven and traditional components. Collaborating closely with a small team, contributing beyond strict QA scope when needed. Must-haves: Experience in QA across UI, API, and integration layers for 3+ years. Understanding of LLM-based systems (prompting, response evaluation). Ability to test and validate agent workflows and AI-driven features. Experience with test automation (Python preferred, but other stacks acceptable). Level of English – from Intermediate+ and above. Reasons why this job would be interesting to you: Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc. The opportunity to change the project and/or develop expertise in an interesting business domain. Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant. Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee. The opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities. Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated. Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies). Certification compensation (AWS, PMP, etc). Referral program. English courses. Private health insurance and compensation for sports activities. Your personal data is protected in accordance with GDPR regulations. Learn more: https://andersenlab.com/privacy-policy Join us! https://people.andersenlab.com/

Technology

Andersen

QA Automation Engineer (TypeScript)

Mid

Remote

Prague, Czech Republic

🏢 Summary: The offer is for a QA Automation Engineer specializing in TypeScript to ensure quality of AI/LLM-powered SaaS platforms and agentic systems. The role focuses on building automated testing and evaluation frameworks for autonomous workflows, non-deterministic AI behavior, and distributed architectures. It involves validating end-to-end AI agents, improving reliability, and integrating QA processes into CI/CD and observability pipelines. 🗂️ Requirements: 3+ years QA Automation experience in AI/LLM-powered SaaS platforms, Experience with Playwright, Cypress, Selenium or similar automation frameworks, Understanding of prompt orchestration, tool calling, memory/context handling, RAG, human-in-the-loop workflows, Experience testing non-deterministic AI systems and probabilistic outputs, Ability to design LLM evaluation frameworks for reasoning quality and hallucination detection, Experience with API testing, async pipelines, webhooks, queues, event-driven architectures, Experience validating long-running workflows, retry/fallback logic, state persistence, Strong debugging skills across frontend, backend, infrastructure, LLM layers, Experience with CI/CD pipelines, regression automation, tracing, observability, log analysis, English level Intermediate+ or higher 📃 Skills: TypeScript, Playwright, Cypress, Selenium, LLM, RAG, API, CI/CD, Webhooks, Queues, LangChain, LangGraph, CrewAI, AutoGen, OpenAI, Anthropic, Kubernetes, AWS 🏢 Description: Andersen is hiring a QA Automation Engineer (TypeScript) for a project developing AI-powered platforms and ensuring quality of intelligent automation solutions. The customer is a technology-focused company specializing in AI-driven solutions and digital innovation for businesses across multiple industries. The organization develops intelligent platforms and automation tools designed to improve operational efficiency, streamline workflows, and support data-driven decision-making. The company operates in an international environment with a strong focus on scalable architecture, modern engineering practices, and the practical implementation of advanced AI technologies. The project is focused on developing a platform for creating AI agents without technical expertise. It enables businesses to deploy plug-and-play AI assistants that handle communication, reporting, analysis, and collaboration tasks across channels such as email, phone, etc. Responsibilities: Designing, developing, and maintaining automated testing frameworks for AI/LLM-powered SaaS platforms and agentic systems. Validating end-to-end autonomous workflows, including prompt orchestration, tool calling, memory and context handling, RAG pipelines, and human-in-the-loop processes. Building automated evaluation pipelines to assess reasoning quality, hallucinations, accuracy, consistency, and response safety across non-deterministic AI systems. Creating and maintaining regression suites covering long-running workflows, retry and fallback logic, conversation state persistence, and failure recovery scenarios. Performing API, async pipeline, webhook, queue, and event-driven system testing across distributed architectures. Investigating, reproducing, and debugging issues across frontend, backend, infrastructure, and LLM layers. Collaborating closely with AI engineers, backend developers, and product teams to improve quality, reliability, observability, and scalability of AI-driven features. Contributing to CI/CD automation, tracing and monitoring solutions, synthetic and golden dataset generation, response scoring, and token/cost analysis for production AI workflows. Must-haves: Strong experience in QA Automation for AI/LLM-powered SaaS platforms and agentic systems for 3+ years. Hands-on experience with automation frameworks such as Playwright, Cypress, Selenium, or similar tools. Solid understanding of autonomous and multi-agent workflow validation, including prompt orchestration, tool calling, memory/context handling, RAG systems, and human-in-the-loop processes. Experience testing non-deterministic AI behavior and building reliable validation strategies for probabilistic outputs. Ability to design and maintain LLM evaluation frameworks focused on reasoning quality, hallucination detection, accuracy, consistency, and response safety. Strong experience with API testing, async pipelines, webhooks, queues, and event-driven architecture. Experience validating long-running workflows, retry/fallback logic, conversation state persistence, and failure recovery scenarios. Strong debugging and troubleshooting skills across frontend, backend, infrastructure, and LLM layers. Experience with CI/CD pipelines, automated regression testing, tracing, observability, and log analysis. Strong understanding of how testing agentic AI systems differ from traditional QA approaches and the ability to build scalable automated evaluation systems for AI agents. Level of English – from Intermediate+ and above. Nice-to-haves: Experience with synthetic test generation, golden datasets, response scoring, and token/cost monitoring. Familiarity with OpenAI or Anthropic APIs, LangChain, LangGraph, CrewAI, AutoGen, vector databases, and RAG architectures. Knowledge of AI safety, guardrail validation, performance/load testing, and cloud or Kubernetes-based infrastructure. Reasons why this job would be interesting to you: Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc.. The opportunity to change the project and/or develop expertise in an interesting business domain. Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant. Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee. The opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities. Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated. Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies). Certification compensation (AWS, PMP, etc). Referral program. English courses. Private health insurance and compensation for sports activities. Join us! Your personal data is protected in accordance with GDPR regulations. Learn more: https://andersenlab.com/privacy-policy https://people.andersenlab.com/

Technology

Andersen

QA Automation Engineer (TypeScript)

Mid

Remote

Warsaw, Poland

2,500 - 3,500 USD

🏢 Summary: The offer is for a QA Automation Engineer (TypeScript) to build and maintain automated testing frameworks for AI/LLM-powered SaaS platforms that enable creation of autonomous AI agents. The role focuses on validating complex agentic workflows, evaluating non-deterministic AI behavior, and ensuring reliability, safety, and scalability of intelligent automation systems. It involves deep testing of distributed, event-driven architectures and AI evaluation pipelines within CI/CD environments. 🗂️ Requirements: 3+ years QA Automation experience with AI/LLM-powered SaaS platforms, Hands-on experience with Playwright, Cypress, Selenium or similar frameworks, Experience validating autonomous and multi-agent workflows, Experience testing non-deterministic AI systems, Ability to design and maintain LLM evaluation frameworks, Strong API and async pipeline testing experience, Experience with webhooks, queues, event-driven architectures, Experience testing long-running workflows and retry/fallback logic, Strong debugging skills across frontend, backend, infrastructure and LLM layers, Experience with CI/CD and automated regression testing, Understanding of scalable automated evaluation systems for AI agents, English level Intermediate+ or higher 📃 Skills: TypeScript, Playwright, Cypress, Selenium, API, LLM, RAG, LangChain, LangGraph, CrewAI, AutoGen, OpenAI, Anthropic, CI/CD, Kubernetes, VectorDB 🏢 Description: Andersen is hiring a QA Automation Engineer (TypeScript) for a project developing AI-powered platforms and ensuring quality of intelligent automation solutions. The customer is a technology-focused company specializing in AI-driven solutions and digital innovation for businesses across multiple industries. The organization develops intelligent platforms and automation tools designed to improve operational efficiency, streamline workflows, and support data-driven decision-making. The company operates in an international environment with a strong focus on scalable architecture, modern engineering practices, and the practical implementation of advanced AI technologies. The project is focused on developing a platform for creating AI agents without technical expertise. It enables businesses to deploy plug-and-play AI assistants that handle communication, reporting, analysis, and collaboration tasks across channels such as email, phone, etc. Responsibilities: Designing, developing, and maintaining automated testing frameworks for AI/LLM-powered SaaS platforms and agentic systems. Validating end-to-end autonomous workflows, including prompt orchestration, tool calling, memory and context handling, RAG pipelines, and human-in-the-loop processes. Building automated evaluation pipelines to assess reasoning quality, hallucinations, accuracy, consistency, and response safety across non-deterministic AI systems. Creating and maintaining regression suites covering long-running workflows, retry and fallback logic, conversation state persistence, and failure recovery scenarios. Performing API, async pipeline, webhook, queue, and event-driven system testing across distributed architectures. Investigating, reproducing, and debugging issues across frontend, backend, infrastructure, and LLM layers. Collaborating closely with AI engineers, backend developers, and product teams to improve quality, reliability, observability, and scalability of AI-driven features. Contributing to CI/CD automation, tracing and monitoring solutions, synthetic and golden dataset generation, response scoring, and token/cost analysis for production AI workflows. Must-haves: Strong experience in QA Automation for AI/LLM-powered SaaS platforms and agentic systems for 3+ years. Hands-on experience with automation frameworks such as Playwright, Cypress, Selenium, or similar tools. Solid understanding of autonomous and multi-agent workflow validation, including prompt orchestration, tool calling, memory/context handling, RAG systems, and human-in-the-loop processes. Experience testing non-deterministic AI behavior and building reliable validation strategies for probabilistic outputs. Ability to design and maintain LLM evaluation frameworks focused on reasoning quality, hallucination detection, accuracy, consistency, and response safety. Strong experience with API testing, async pipelines, webhooks, queues, and event-driven architecture. Experience validating long-running workflows, retry/fallback logic, conversation state persistence, and failure recovery scenarios. Strong debugging and troubleshooting skills across frontend, backend, infrastructure, and LLM layers. Experience with CI/CD pipelines, automated regression testing, tracing, observability, and log analysis. Strong understanding of how testing agentic AI systems differ from traditional QA approaches and the ability to build scalable automated evaluation systems for AI agents. Level of English – from Intermediate+ and above. Nice-to-haves: Experience with synthetic test generation, golden datasets, response scoring, and token/cost monitoring. Familiarity with OpenAI or Anthropic APIs, LangChain, LangGraph, CrewAI, AutoGen, vector databases, and RAG architectures. Knowledge of AI safety, guardrail validation, performance/load testing, and cloud or Kubernetes-based infrastructure. Reasons why this job would be interesting to you: Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc.. The opportunity to change the project and/or develop expertise in an interesting business domain. Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant. Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee. The opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities. Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated. Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies). Certification compensation (AWS, PMP, etc). Referral program. English courses. Private health insurance and compensation for sports activities. Join us! Your personal data is protected in accordance with GDPR regulations. Learn more: https://andersenlab.com/privacy-policy/pl https://people.andersenlab.com/