Full Stack QA Engineer (Python)

🏢 Summary: The offer is for a Full Stack QA Engineer to support quality assurance and automation testing of web and mobile digital platforms, ensuring reliability, performance, and smooth CI/CD integration. The role involves manual and automated testing within Agile teams, focusing on complex systems and continuous product improvement. 🗂️ Requirements: 4+ years of QA Automation experience, Experience in testing complex inventory management processes, Strong knowledge of test automation using JavaScript, Experience working in Agile teams and participating in Scrum ceremonies, Experience with common test and collaboration tools in Agile environments, English level Intermediate+ or higher 📃 Skills: JavaScript, QA, Automation, CI/CD, Scrum, Agile, Testing 🏢 Description: Andersen is hiring a Full Stack QA Engineer for a project supporting quality assurance and testing of digital web and mobile platforms to ensure reliability and performance. Our customer is an international technology-driven company developing digital products and online services that simplify important everyday decisions for users. The organization builds scalable customer-focused solutions, combining modern technologies, innovation, and user-centered design principles. The company emphasizes continuous product improvement, service quality, and long-term digital development. The project is focused on supporting quality assurance activities for digital platforms across automotive and property domains. It includes testing web and mobile solutions to ensure platform quality, reliability, and performance for upcoming product enhancements. Responsibilities: Actively participating in all Scrum ceremonies. Engaging in the validation of sites/apps at various stages, such as pre-release and post-release, under different platform/network conditions. Conducting testing using diverse strategies. Documenting and sharing discovered bugs with team. Gradually automating high-priority test cases for integration with the CI/CD pipeline for sustained efficiency. Must-haves: Experience in QA Automation for 4+ years. Experience in QA/testing of complex inventory management processes. Strong method knowledge in test automation (JavaScript). Experience in applying agile methods in an Agile team. Dealing with common test and collaborative working tools of agile software development. High degree of initiative and a sense of responsibility. 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/pl Join us! https://people.andersenlab.com/

🏢 Summary: The offer is for a Full Stack QA Engineer to ensure quality, reliability, and performance of web and mobile digital platforms across automotive and property domains. The role focuses on manual and automated testing, validating applications under various conditions, and integrating automated tests into CI/CD pipelines within an Agile environment. 🗂️ Requirements: 4+ years of QA Automation experience, Experience testing complex inventory management processes, Experience in mobile testing, Experience in end-to-end (E2E) testing, Strong knowledge of test automation using JavaScript, Experience working in Agile teams, Experience with common QA and collaboration tools, English level Intermediate+ or higher 📃 Skills: JavaScript, Automation, E2E, CI/CD, Agile, Scrum, Mobile, Web, QA, Testing 🏢 Description: Andersen is hiring a Full Stack QA Engineer for a project supporting quality assurance and testing of digital web and mobile platforms to ensure reliability and performance. Our customer is an international technology-driven company developing digital products and online services that simplify important everyday decisions for users. The organization builds scalable customer-focused solutions, combining modern technologies, innovation, and user-centered design principles. The company emphasizes continuous product improvement, service quality, and long-term digital development. The project is focused on supporting quality assurance activities for digital platforms across automotive and property domains. It includes testing web and mobile solutions to ensure platform quality, reliability, and performance for upcoming product enhancements. Responsibilities: Actively participating in all Scrum ceremonies. Engaging in the validation of sites/apps at various stages, such as pre-release and post-release, under different platform/network conditions. Conducting testing using diverse strategies. Documenting and sharing discovered bugs with team. Gradually automating high-priority test cases for integration with the CI/CD pipeline for sustained efficiency. Must-haves: Experience in QA Automation for 4+ years. Experience in QA/testing of complex inventory management processes. Experience in mobile testing and end-to-end (E2E) testing. Strong method knowledge in test automation (JavaScript). Experience in applying agile methods in an Agile team. Dealing with common test and collaborative working tools of agile software development. High degree of initiative and a sense of responsibility. 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. 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/pl Join us!

🏢 Summary: Full Stack QA Engineer role focused on building and maintaining automated testing solutions for a scalable vehicle branding management platform across mobile and backend systems. The position involves API and mobile testing, CI/CD integration, quality process improvement, and collaboration with cross-functional teams in an agile environment. Remote, hybrid, and office work options are available alongside professional growth and certification support. 🗂️ Requirements: 4+ years of experience as a Full Stack QA Engineer, 1+ years of experience in mobile testing for iOS and Android, Experience with functional and automated testing, Proficiency in API testing, Experience with database CRUD operations, Knowledge of bash or zsh command-line tools, Proficiency in Kotlin or strong Java programming skills, Understanding of mobile platforms and client-server architecture, Knowledge of network protocols, Experience with CI/CD tools, Experience with Git version control, Ability to analyze backend and frontend code to identify defects, Experience using AI-assisted development tools, English level Intermediate+ or higher 📃 Skills: Kotlin, Java, Postman, CRUD, bash, zsh, Jenkins, GitLab, GitHub, Git, Jira, Tableau, Pact, Docker, Kubernetes, BrowserStack, Firebase, GraphQL, gRPC, Copilot, ChatGPT, Claude, CI/CD, API, iOS, Android 🏢 Description: Andersen is hiring a Full Stack QA Engineer for a project developing a scalable vehicle branding management platform and automating business workflows across mobility operations. The project is focused on developing an end-to-end vehicle branding management platform. It automates branding agency coordination, driver verification, compliance checks, payment tracking, and vehicle/driver classification workflows across the full branding lifecycle. Responsibilities: - Designing and maintaining test cases / test suites for product features. - Participating in agile practices (discovery, refinement, decomposition, sprint planning, demos). - Designing, developing, and maintaining automated test suites for APIs and mobile UI (iOS and Android); implementing shift-left testing practices. - Building and maintaining test frameworks and tools for QA engineers, integrating them into CI/CD pipelines. - Ensuring the reliability of testing infrastructure. - Working with TechOps and other teams to implement quality management processes and improve testing workflows. - Investigating production issues, performing root cause analysis, and collaborating with backend and mobile developers to prevent regressions. - Tracking quality metrics in Jira/Tableau, automating routine tasks. - Advocating for testability. - Mentoring QA team members. Must-haves: - Experience as a Full Stack QA Engineer for 4+ years. - Experience in mobile testing (iOS & Android) for 1+ years. - Recent hands-on experience with both functional and automated testing. - Proficiency in API testing (Postman or similar), database operations (CRUD), and basic command-line tools (bash/zsh). - Proficiency in Kotlin (or, alternatively, strong programming skills in Java). - Solid understanding of mobile platforms, client-server architecture, and network protocols. - Experience with CI/CD tools (Jenkins, GitLab CI, GitHub Actions), version control (Git), and test management practices. - Ability to read and reason about backend and frontend code to pinpoint defects accurately. - Experience using AI-assisted development tools (GitHub Copilot, ChatGPT, Claude) to accelerate coding, testing, and code review workflows. - Level of English – Intermediate+ and above. Nice-to-haves: - Experience with contract testing (Pact) or visual regression testing for mobile. - Familiarity with Docker, Kubernetes, and cloud-based device farms (BrowserStack, Firebase Test Lab). - Experience with GraphQL and gRPC contract testing. Benefits: - Opportunity to work with projects across FinTech, Healthcare, Retail, Telecom, and other domains. - Opportunity to change projects and develop expertise in different business domains. - Flexible work format: remote, office, or hybrid. - Professional, financial, and career growth opportunities. - Mentoring and adaptation systems for new employees. - Additional bonus opportunities based on participation in company activities. - Access to a corporate training portal and knowledge base. - Certification compensation (AWS, PMP, etc.). - Referral program. - Private health insurance and compensation for sports activities. - Personal data protection in accordance with GDPR regulations.

🏢 Summary: Junior Full Stack QA Engineer role focused on ensuring quality and reliability of a digital insurance distribution platform. The position combines manual and automated testing, including end-to-end test automation and CI/CD integration. It involves close collaboration within Agile teams to enhance B2B and B2C insurance sales journeys. 🗂️ Requirements: 6+ months experience in QA Automation, Basic experience with Playwright or other UI test automation framework, Knowledge of JavaScript or TypeScript, Understanding of software testing principles and QA processes, Ability to perform both manual and automated testing, Ability to analyze test results and document defects, English level Intermediate+ or higher 📃 Skills: Playwright, JavaScript, TypeScript, Jira, CI/CD, Zephyr, AI-testing 🏢 Description: Andersen is hiring a Junior Full Stack QA Engineer for a project enhancing digital insurance solutions and ensuring quality, reliability, and seamless customer experiences. Our customer is an international organization operating in the financial and protection services domain. The company provides a diverse portfolio of customer-oriented solutions across multiple business areas and markets. With a strong focus on digital capabilities, operational excellence, and long-term development, the organization continuously invests in technology, process improvement, and service innovation to support evolving customer and business needs. The project is focused on enhancing a digital insurance distribution platform by enabling the sale of travel, roadside assistance, and bicycle insurance products through B2B and B2C channels. It includes developing new sales journeys, integrating partner systems, and modernizing insurance distribution processes to improve customer experience and operational efficiency. Responsibilities: Designing, maintaining, and executing comprehensive manual test scenarios for web application. Creating, reviewing, and maintaining detailed test cases, test suites, test plans, and testing documentation to ensure full requirements coverage. Analyzing business requirements, user stories, and acceptance criteria to identify test scenarios, edge cases. Identifying, documenting, and tracking software defects in Jira, including detailed reproduction steps, severity assessment, and supporting evidence. Collaborating closely with developers, business analysts, product owners, and designers to clarify requirements, investigate issues, and ensure successful delivery. Participating in Agile ceremonies, including sprint planning, backlog refinement, daily stand-ups, sprint reviews, and retrospectives. Developing and maintaining automated end-to-end test scenarios using Playwright with JavaScript/TypeScript. Executing automated regression suites and analyzed test execution results to identify failures and quality risks. Integrating automated tests into CI/CD pipelines to support continuous testing and improve release confidence. Must-haves: Experience in QA Automation for 6+ months. Basic experience with Playwright or another UI test automation framework. Knowledge of JavaScript and/or TypeScript. Understanding of software testing principles and QA processes. Willingness to combine manual and automated testing activities. Ability to analyze test results, identify defects, and document findings. Strong attention to detail and willingness to learn. Level of English – from Intermediate+ and above. Nise to haves: Experience using AI-powered testing tools and approaches. Familiarity with Zephyr or other test management tools. 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. 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/pl Join us! https://people.andersenlab.com/

🏢 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/

🏢 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/

🏢 Summary: QA Automation Engineer (TypeScript) role focused on building and maintaining automated testing frameworks for AI/LLM-powered SaaS platforms and agentic systems. The position involves validating autonomous workflows, non-deterministic AI behavior, and end-to-end distributed architectures. The engineer will design scalable evaluation and regression systems to ensure reliability, safety, and quality of AI-driven features. 🗂️ Requirements: 3+ years QA Automation experience with AI/LLM-powered SaaS platforms, Experience with Playwright, Cypress, Selenium or similar automation frameworks, Strong knowledge of autonomous and multi-agent workflow validation, Experience testing non-deterministic AI systems, Ability to design LLM evaluation frameworks for reasoning quality and hallucination detection, Experience with API testing and event-driven architectures, Experience validating long-running workflows and failure recovery scenarios, Strong debugging skills across frontend, backend, infrastructure and LLM layers, Experience with CI/CD pipelines and automated regression testing, Understanding of agentic AI testing approaches, English level Intermediate+ or higher 📃 Skills: TypeScript, Playwright, Cypress, Selenium, LLM, RAG, LangChain, LangGraph, CrewAI, AutoGen, OpenAI, Anthropic, API, CI/CD, Kubernetes, AWS, Queues, Webhooks, Tracing, Observability 🏢 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. 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

🏢 Summary: Full Stack QA Engineer role focused on building and maintaining automated testing solutions for a vehicle branding management platform that streamlines mobility operations workflows. The position involves API and mobile testing, CI/CD integration, quality process improvements, and collaboration with backend and mobile teams in an agile environment. Remote, hybrid, and office work options are available along with professional development and certification support. 🗂️ Requirements: 4+ years of experience as a Full Stack QA Engineer, 1+ years of experience in mobile testing for iOS and Android, Hands-on experience with functional and automated testing, Experience with API testing tools, Experience with database CRUD operations, Knowledge of bash or zsh command-line tools, Proficiency in Kotlin or strong Java programming skills, Understanding of mobile platforms and client-server architecture, Knowledge of network protocols, Experience with CI/CD tools, Experience with Git version control, Ability to analyze backend and frontend code to identify defects, Experience with AI-assisted development tools, English level Intermediate+ or higher 📃 Skills: Kotlin, Java, Postman, SQL, Bash, Zsh, Jenkins, GitLab, GitHub, Git, Jira, Tableau, Docker, Kubernetes, BrowserStack, Firebase, GraphQL, gRPC, Pact, Copilot, ChatGPT, Claude, Android, iOS 🏢 Description: Andersen is hiring a Full Stack QA Engineer for a project developing a scalable vehicle branding management platform and automating business workflows across mobility operations. The customer is a global investment management firm providing tailored investment solutions to institutional and private clients. It combines financial expertise with long-term investment strategies to help clients achieve their objectives while adapting to changing market conditions. The organization focuses on innovation, responsible investing, and operational excellence, continuously enhancing its capabilities to deliver sustainable value and support long-term growth. The project is focused on developing an end-to-end vehicle branding management platform. It automates branding agency coordination, driver verification, compliance checks, payment tracking, and vehicle/driver classification workflows across the full branding lifecycle. Responsibilities: Designing and maintaining test cases / test suites for product features. Participating in agile practices (discovery, refinement, decomposition, sprint planning, demos). Designing, developing, and maintaining automated test suites for APIs and mobile UI (iOS and Android); implementing shift-left testing practices. Building and maintaining test frameworks and tools for QA engineers, integrating them into CI/CD pipelines. Ensure the reliability of testing infrastructure. Working with TechOps and other teams to implement quality management processes and improve testing workflows. Investigating production issues, performing root cause analysis, and collaborating with backend and mobile developers to prevent regressions. Tracking quality metrics in Jira/Tableau, automate routine tasks. Advocate for testability. Mentor QA team members. Must-haves: Experience as a Full Stack QA Engineer for 4+ years. Experience in mobile testing (iOS & Android) for 1+ years. Recent hands-on experience with both functional and automated testing. Proficiency in API testing (Postman or similar), database operations (CRUD), and basic command-line tools (bash/zsh). Proficiency in Kotlin (or, alternatively, strong programming skills in Java). Solid understanding of mobile platforms, client-server architecture, and network protocols. Experience with CI/CD tools (Jenkins, GitLab CI, GitHub Actions), version control (Git), and test management practices. - Ability to read and reason for backend and frontend code to pinpoint defects accurately. Experience using AI-assisted development tools (GitHub Copilot, ChatGPT, Claude) to accelerate coding, testing, and code review workflows Level of English – from Intermediate+ and above. Nice-to-haves: Experience with contract testing (Pact) or visual regression testing for mobile. Familiarity with Docker, Kubernetes, and cloud-based device farms (BrowserStack, Firebase Test Lab). Experience with GraphQL and gRPC contract testing. 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. 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/pl Join us! https://people.andersenlab.com/

🏢 Summary: Lead QA Engineer role on a travel platform project focused on integrating multiple supplier and aggregator APIs into a unified, scalable system. The position involves defining and driving QA strategy, leading manual and automation efforts, and ensuring high-quality, reliable booking processes. The role combines hands-on testing with team leadership and stakeholder collaboration. 🗂️ Requirements: 4+ years experience as QA Lead, Strong manual testing experience, UI testing experience, API testing experience, Experience defining QA strategy and processes, Team leadership and mentoring experience, Stakeholder management skills, Interest in AI-driven QA evolution, English level Intermediate+ or higher 📃 Skills: QA, Testing, Manual, Automation, API, UI, Leadership, TypeScript, Playwright, AI 🏢 Description: Andersen is hiring a Lead QA Engineer for a project developing a travel platform with API integrations, ensuring quality, scalability, and reliable booking processes. The customer is a technology-driven company in the travel sector, providing a comprehensive booking and procurement platform for industry professionals. Its solutions support large transaction volumes, integrate with a wide network of partners, and offer tools that streamline operations and enhance productivity. Focused on innovation and scalability, the customer continues to expand its ecosystem, strengthen partnerships, and improve data accuracy to deliver a modern digital infrastructure for the travel value chain. The project is focused on developing a travel platform that integrates multiple supplier and aggregator APIs into a unified system. It includes end-to-end API integration, data synchronization, and optimization of booking processes to ensure scalable, reliable, and high-performance travel product distribution. Responsibilities: Leading QA activities across the project. Defining and driving QA strategy, processes, and standards. Coordinating team efforts (manual + automation). Supporting and mentoring team members. Collaborating with stakeholders and ensuring delivery quality. Must-haves: Experience as a QA Lead from 4+ years. Strong manual testing background (UI & API). Strong leadership, communication, and stakeholder management skills. Ability to drive QA strategy and team development. Interest in AI-driven QA evolution. Level of English – from Intermediate+ and above. Nice-to-haves: Practical experience with TypeScript + Playwright (or similar). 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!

🏢 Summary: The offer is for a QA Engineer responsible for ensuring quality and reliability of a secure cloud-based platform with AI-driven features, including collaboration and analytics tools. The role focuses on testing non-deterministic AI systems, validating LLM outputs, and maintaining regression suites to support stable and scalable AI workflows. It involves close collaboration with AI engineers to monitor, evaluate, and continuously improve AI performance in production. 🗂️ Requirements: 3+ years of experience as a QA Engineer or similar role, Experience testing AI/ML or non-deterministic systems, Knowledge of QA methodologies for AI workflows, Experience designing test cases without fixed expected outputs, Experience with AI observability or evaluation tools, Ability to validate LLM outputs against business rules and acceptance criteria, Experience building and maintaining regression suites for AI features, Ability to identify edge cases and failure modes in AI behavior, Experience documenting issues with logs and quality metrics, Ability to work with JSON and API tools, Upper-Intermediate English or higher 📃 Skills: AI, ML, LLM, LangFuse, Ragas, TruLens, JSON, Postman, Swagger, RAG, Embeddings, Telemetry 🏢 Description: 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/