AQA Engineer with Playwright and AI, Intelligent Testing Platform

🏢 Summary: The offer is for an Automated Quality Assurance Engineer responsible for building and maintaining advanced automated testing solutions using TypeScript and Playwright, with strong integration of AI-driven concepts. The role focuses on enhancing test automation frameworks, implementing AI Agents in testing processes, and supporting CI/CD pipelines to ensure high-quality software delivery. 🗂️ Requirements: Hands-on experience with Playwright MCP, Strong proficiency in TypeScript, Experience with Selenium WebDriver, Understanding of AI Agents in testing, Experience using GitHub Copilot, Experience with CI/CD pipelines, Knowledge of DevOps practices 📃 Skills: TypeScript, Playwright, Selenium, AI, GitHub, Copilot, CI/CD, DevOps, Java 🏢 Description: Client Our client is an international association of financial industry professionals, connecting over 200,000 investment experts and leveraging 100+ diverse applications to deliver innovative solutions. Position overview We are seeking a skilled Automated Quality Assurance (AQA) Engineer with expertise in AI, TypeScript, and Playwright to join our dynamic team. The ideal candidate will have hands-on experience with test automation frameworks, a strong understanding of AI technologies, and a passion for delivering high-quality software solutions. Responsibilities Design, develop, and maintain automated test scripts using TypeScript and Playwright. Collaborate with development and product teams to define test strategies and ensure software quality. Implement and execute automated test suites to validate functionality and performance. Utilize Playwright MCP for advanced automated testing capabilities. Integrate AI Agent concepts to enhance test automation and coverage. Leverage GitHub Copilot to improve coding efficiency and quality. Participate in code reviews, CI/CD processes, and deployments. Stay updated with emerging trends in AI, test automation, and software development best practices. Requirements Hands-on experience with Playwright MCP. Profound understanding of AI Agents and their application in testing. Experience with GitHub Copilot for code productivity. Proficiency in TypeScript. Strong experience with Selenium WebDriver for automation testing. Familiarity with CI/CD pipelines and DevOps practices. Excellent problem-solving, communication, and teamwork skills. Nice to have Proficiency in Java programming language. Knowledge of cloud platforms and microservices architecture. Familiarity with Agile development methodologies.

🏢 Summary: Program Manager role leading a Quality Engineering modernization initiative focused on adopting advanced test automation and AI-driven testing solutions. The position oversees the rollout of Playwright MCP and TypeScript frameworks and integration of AI tools like Cursor across QA processes. It involves managing cross-functional teams to deliver scalable, modern AQA capabilities in an Agile environment. 🗂️ Requirements: 5+ years program or project management experience in Quality Engineering or software testing, Strong knowledge of QA processes and automation frameworks, Experience with Playwright MCP and TypeScript, Experience with AI-driven testing tools such as Cursor, Proven experience managing complex initiatives in Agile environments, Understanding of CI/CD pipelines and DevOps practices 📃 Skills: Playwright, TypeScript, Cursor, QA, Automation, AI, Agile, CI/CD, DevOps 🏢 Description: Client Our client is one of the largest professional certification associations in the finance industry globally and uses DataArt as its primary technology partner. Project overview The Program Manager will lead the modernization of the QE function, overseeing the adoption and integration of advanced automation tools and AI driven testing methods. The role involves coordinating cross functional teams, managing stakeholder expectations, and ensuring the successful delivery of the new AQA capabilities across the organization. Position overview We are seeking a forward thinking Program Manager with a background in Quality Assurance and strong program leadership skills to drive the QE Modernization stream. The ideal candidate will have experience managing automation initiatives and familiarity with AI testing instruments such as Cursor. They will oversee the rollout of Playwright MCP and TypeScript automation frameworks, fostering innovation and continuous improvement within the QA teams. Responsibilities Lead the planning, execution, and delivery of the QE Modernization program, ensuring alignment with strategic goals and timelines. Collaborate with QA, development, and product teams to define program scope, objectives, and success metrics. Drive the adoption of Playwright MCP and TypeScript as core automation technologies within the organization’s QE processes. Coordinate with AI experts and tool vendors to integrate AI powered testing tools such as Cursor into the test ecosystem. Manage risks, dependencies, and change management activities related to QA modernization efforts. Foster collaboration among automation engineers, manual testers, and other stakeholders to ensure a smooth transition and effective knowledge sharing. Provide regular program status updates, highlighting progress, challenges, and mitigation plans. Champion continuous improvement and innovation in quality engineering practices. Requirements Five or more years of experience in program or project management within Quality Engineering, software testing, or related areas. Hands on QA experience or a strong understanding of QA processes and automation frameworks is a significant plus. Familiarity with Playwright MCP, TypeScript, and other modern test automation tools. Experience with AI driven testing tools such as Cursor or similar technologies. Strong leadership and stakeholder management skills with the ability to drive cross team collaboration. Demonstrated success in managing complex initiatives in Agile environments. Excellent communication, problem solving, and organizational skills. Nice to have Background in software development or test automation is highly desirable. Knowledge of continuous integration and continuous delivery pipelines and DevOps practices. Experience in finance, regulatory compliance, or related industries. What We Offer: Vacation days : Up to 26 business days per year. 10 illness/special days off per year (fully paid, no medical papers needed) for all contract types Health and life insurance (Luxmed) MyBenefit platform with Multisport option Internal psychological support service English language classes from the first working day Access to external learning platforms : O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training Flexible workplace : work from the office, from home, or choose a hybrid option Tech Skills Mentoring Program Opportunities to develop as a public speaker, mentor, or technical interviewer Fully paid idle (bench) when not involved in a project Certification reimbursement (AWS, GCP, Microsoft, etc.)

🏢 Summary: The offer is for a Senior QA Automation Engineer role in an AI-first transformation project focused on building and enhancing cloud-based enterprise software solutions for the insurance domain. The position centers on developing and maintaining automated testing frameworks, executing API and performance tests, and driving test automation strategy within an Agile Scrum team. The role combines strong technical QA expertise with AI-driven practices and active contribution to process improvement. 🗂️ Requirements: 5+ years of experience in software testing, Experience with .NET and ReSharper, Experience with TypeScript, Experience with Playwright, Experience in REST and SOAP API testing, Experience in test data creation, Experience in exploratory testing, Experience with Git, Experience working in Agile Scrum teams, Experience with JIRA, Experience in medium to large development teams, Experience with enterprise-level projects, Understanding of QA processes and test automation frameworks, English B2+ level 📃 Skills: .NET, ReSharper, TypeScript, Playwright, REST, SOAP, Git, JIRA, Scrum, AI, MCP, Cloud 🏢 Description: About the project: The Client provides comprehensive operational support and a range of expert services to the world’s leading insurers, brokers, fleet managers and automotive manufacturers. 3,300 employees across ten countries deliver exceptional standards on a large scale for over 1,200 clients. We help the global insurance market to handle millions of claims each year in the most cost-effective and efficient ways possible. The Client is embarking on an exciting and challenging transformation program and our software solutions are a driving force behind this strategy using cloud computing and leading-edge design patterns. This is AI First project with massive usage of AI DLC practices. Key Responsibilities: Writing automated test scripts to verify and validate that the new software meets the business needs Gaining a strong understanding of the business operation Recording and monitoring QA test results Enhancing existing automation back end and front end framework Providing coaching support to others in the QA team Providing QA effort estimates in work refinement sessions Helping to drive the test automation strategy across the business Running performance tests and ensuring that the results meet established levels Assisting in the user acceptance test (UAT) process by helping end users understand how to use the software Test planning activities and stream ownership AI driven mindset and readiness. Be an active member of the Scrum team, improving processes and ensuring that the team delivers on their commitment Knowledge and Skills required: 5+ years of experience in testing Eng (b2+), Spanish (b1) - optional but favorable .NET + Resharp TypeScript _ Playwright Test data creation Rest and Soap Api Testing Exploratory Testing Git AI DLC practices (MCP servers, .md files, ecosystem building) Knowledge of current industry-wide quality & test processes, practices, tools and techniques. Self-organizing problem solver with the ability to think outside the box. Works effectively with both local and remote colleagues, collaborating, motivating, and energizing others. Excellent verbal and written communication skills with strong attention to detail. Continuously looking to improve and learn new technologies, participating actively in the development community, contributing to blogs, researching or Opensource. Enjoys working in a fast-paced environment. Experience required: Previous experience working in medium to large sized development teams. Working on enterprise level customers Experience working in an agile environment employing scrum methodology and JIRA as a SDLC management tool. AI mindset is much preferable. We offer: Flexible working format - remote, office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits

🏢 Summary: Part-time Senior QA Automation Engineer role focused on architecting and scaling automated E2E, API, and visual regression test frameworks integrated with modern CI/CD pipelines in a fully remote setup. The position involves ownership of Playwright-based automation, cross-device UI validation, and backend API testing to ensure high reliability across complex environments. The engagement runs from mid-June to end of September 2026 with possible extension. 🗂️ Requirements: Senior-level experience with Playwright, Strong proficiency in TypeScript or JavaScript, Hands-on experience with API automation testing, Experience with REST endpoint validation and JSON schema validation, Practical experience with CI/CD pipelines, Experience with GitHub Actions, GitLab CI, Jenkins, or CircleCI, Knowledge of visual regression testing, Experience designing smoke tests for live deployments, Ability to manage test data across staging and pre-production environments, Understanding of caching layers and test isolation, English proficiency at B2 level or higher 📃 Skills: Playwright, TypeScript, JavaScript, REST, JSON, CI/CD, GitHub, GitLab, Jenkins, CircleCI, POM, Redis 🏢 Description: co.brick talents — powered by AI, powered by people. Join a leading European software firm specializing in enterprise HR and payroll accounting solutions as a Senior QA Automation Engineer. Your mission is to mature, scale, and integrate automated test suites within modern CI/CD pipelines. You will take ownership of end-to-end (E2E), API, and visual regression testing frameworks, ensuring high system reliability across complex multi-viewport environments and third-party partner integrations. Details Allocation: Part-time ( 0.5 FTE ). Rate: 140 PLN/h. Start Date: June 15, 2026. Duration: through the end of September 2026, with a strong possibility of extension. Work Model: 100% Remote Responsibilities Framework Engineering: Architect, maintain, and optimize robust automated test suites using Playwright and TypeScript, applying the Page Object Model (POM). Visual & Cross-Device Testing: Implement multi-viewport layouts and manage visual regression testing baselines to ensure cross-platform UI consistency. API Validation: Author automated backend tests covering REST endpoints, JSON schema validations, and mock layer behaviors for external supplier sandboxes. Data & Environment Parity: Manage test data states across staging and pre-production tiers, actively mitigating data state and caching discrepancies (e.g., live vs. Redis cached layers). CI/CD Quality Gates: Embed tests directly into orchestration pipelines, establishing parallel execution paths, reliable post-deployment smoke test strategies, and clear reporting quality gates. Requirements Core Automation Stack: Strong, senior-level hands-on experience with Playwright (TypeScript / JavaScript) , dynamic async patterns, and custom fixtures. API Testing: Proven experience in API automation, contract testing concepts, and debugging systems connected via shared infrastructure caching tiers. CI/CD Integration: Practical experience working with major automation runners ( GitHub Actions, GitLab CI, Jenkins, or CircleCI ). Methodologies: In-depth knowledge of visual regression tooling, smoke test design for live deployments, and managing test isolation. Languages: English at a minimum B2 level (clear technical and collaborative writing). Nice to Have AI-Assisted QA: Experience leveraging AI-powered tools for automated test generation, test deduplication, flaky test triage, or test coverage expansion.

🏢 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: The role involves designing and maintaining automated tests for web applications and microservices within a SAFe-based Agile environment. The QA Engineer focuses on building automation frameworks, integrating tests into CI/CD pipelines, and ensuring quality through API and non-functional testing. The position emphasizes collaboration with developers and maintaining high standards of test reliability and defect reporting. 🗂️ Requirements: Minimum 5 years of experience in manual testing, Experience in test automation for web applications, Proficiency in JavaScript or TypeScript, Experience with Playwright, Cypress, or Selenium, Experience in API testing for microservices, Experience integrating tests into CI/CD pipelines, Ability to analyze logs, network traffic, and database states, Experience with defect tracking in Jira, Knowledge of non-functional testing, Polish C2, English C1 📃 Skills: JavaScript, TypeScript, Playwright, Cypress, Selenium, API, Microservices, CI/CD, Jira, SQL, Agile, Scrum, SAFe 🏢 Description: QA Engineer automation Team main objective is to create added value for Client customers through digital innovations and simplified customer-oriented service offerings and at the same time to improve efficiency of operation processes and increase sales potential (On- and Offline). SAFe methodology has been implemented in June 2019. Development is based on Program Increment / Features. Responsibilities: Developing and maintaining automated test scripts for web applications using JavaScript/TypeScript with frameworks like Playwright, Cypress, or Selenium. Designing and executing API tests for microservices architectures to ensure seamless service communication. Integrating automated test suites into the CI/CD pipeline to ensure continuous quality gates. Collaborating with developers during daily Agile/Scrum standups to understand new features and map out automation strategies before coding begins. Analyzing test execution results and debugging flaky tests or failures by inspecting application logs, network traffic, and database states. Reporting and tracking defects in Jira, providing developers with detailed reproduction steps, logs, and video recordings of failures. Performing non-functional testing such as contract testing for microservices and basic performance checks to maintain system reliability. Requirements: Polish – C2, English C1 at least 5 years of proven experience in manual testing excellent attention to detail with a natural curiosity to question and validate functionality strong analytical and critical thinking skills ability to understand an application holistically and consider its interactions beyond obvious workflows good communication skills to document findings and discuss issues effectively What we offer: The opportunity to participate in a variety of projects. Remote work from any location, or a hybrid model using our offices located in Poznań. A home office package to increase remote work comfort (chair, additional monitor, ergonomic mouse, etc.). Modern offices equipped with amenities such as a pool table, foosball, darts, and relaxation zones. Opportunities to spend time together after work - combining our employees’ passions through ski trips, cycling tours, and sailing adventures. Regular company-wide and team-based integration events, as well as many other occasions to meet and exchange ideas with colleagues. Celebrations of important moments in the lives of our employees An open approach to new ideas and initiatives, including charity actions.

🏢 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: 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: Office-based role for a Regular or Senior AI Test Automation Engineer to build and maintain AI-driven test automation for a modern investment platform. The position focuses on automating functional, integration, and non-functional testing using AI agents and integrating quality controls into CI/CD pipelines. The engineer will ensure compliance, traceability, and high test coverage in a fast-paced, full-stack environment. 🗂️ Requirements: 4+ years of test automation experience, Minimum 2 years in AI-assisted or agentic testing environments, Proficiency with Playwright and PyTest, Experience with CI/CD tools such as Jenkins or GitLab, Experience in API testing, Experience with AI testing agents and synthetic data generation, Knowledge of financial platforms and time-series data validation, Understanding of test strategy design and coverage metrics, Experience with compliance-driven testing in agile environments 📃 Skills: Python, PyTest, Playwright, Jenkins, GitLab, CI/CD, API, AI, Automation, Testing, SyntheticData, TimeSeries, Agile 🏢 Description: We are looking for an experienced Regular or Senior AI Test Automation Engineer to join a full-stack team developing a cutting-edge, AI-native investment platform. The person in this role will be responsible for test automation using AI agents and modern testing tools. This is a 100% office-based position. The project utilizes technologies such as Python, PyTest, Playwright, CI/CD tools (Jenkins, GitLab), as well as solutions for API testing and synthetic data generation If you're ready to make an impact in a dynamic environment, we want to hear from you! Responsibilities Automate test coverage across functional, integration and non-functional layers using AI agents (e.g., Unit Testing Agent, API Test Agent, Automation QA Agent) Integrate testing into CI/CD pipelines and implement quality gates for code, performance and security validation Leverage AI-generated test strategies and synthetic test data to accelerate validation cycles Ensure traceability and auditability of test results in line with investment platform compliance requirements Collaborate with the team to validate code quality and promote test-driven development practices Monitor and optimize test execution using observability tools and analytics from platform usage Requirements Minimum 4+ years of experience in test automation, including at least 2 years in AI-assisted or agentic testing environments Proficiency with test frameworks (e.g., Playwright, PyTest), CI/CD tools (Jenkins, GitLab) and API testing Experience with AI testing agents, synthetic data generation and test orchestration Familiarity with financial platforms, time-series data validation and compliance-driven testing Strong understanding of test strategy design, coverage metrics and defect triage in agile environments We offer/Benefits We gather like-minded people: Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English classes We cover it all: Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview. We will reach out to selected candidates exclusively. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

🏢 Summary: Hands-on QA Automation Engineer role focused on ensuring quality and reliability of English Language Learning platforms through automated testing of frontend and backend systems. The position involves designing and maintaining UI and API test automation, integrating tests into CI/CD pipelines, and collaborating closely with engineering teams in an Agile environment. Strong ownership of quality, risk identification, and continuous delivery support are key expectations. 🗂️ Requirements: Proven experience as QA Automation Engineer, Strong hands-on experience with Playwright for UI and API testing, Solid programming skills in Java, Experience testing web applications, Experience testing REST APIs and service integrations, Strong understanding of test design and test strategies, Experience with automated testing (unit, integration, end-to-end), Experience with CI/CD pipelines and test automation integration, Experience with Git version control, Familiarity with Agile/Scrum, Comfort using AI-assisted development tools 📃 Skills: Playwright, Java, REST, API, CI/CD, Git, Agile, Scrum, Cucumber, BDD 🏢 Description: We are looking for an experienced QA Automation Engineer to ensure the quality and reliability of core English Language Learning platforms. This role is hands‑on and delivery‑driven. You will be responsible for designing, implementing, and maintaining automated test solutions across frontend and backend systems, supporting continuous delivery of high‑quality software. The expectation is strong ownership over quality outcomes, proactive identification of risks, and the ability to work closely with engineering teams to ensure quality is built into the development process. We are looking for you, if you have: Proven experience as a QA Automation Engineer Strong hands-on experience with Playwright for UI and API testing Solid programming skills in Java (test frameworks, automation support) Experience testing: Web applications REST APIs and service integrations Strong understanding of: Test design and test strategies Automated testing (unit, integration, end-to-end) Experience with: CI/CD pipelines and test automation integration Version control systems (Git) Familiarity with Agile/Scrum ways of working Comfortable using AI-assisted development tools (e.g., Copilot, Cursor or equivalent) Nice to have: Experience with BDD frameworks (e.g., Cucumber) Knowledge of performance or load testing tools Experience with observability and quality metrics practices Experience working on large-scale, distributed systems We offer: Participation in interesting and demanding projects. Flexible working hours. A great, non-corporate atmosphere. Possibility to work remote or hybrid (2 days per week from the office). Opportunities for development and promotion. Attractive package of benefits.