About Us: 
Our Company is a young and innovative, truly global AI SaaS company founded in 2020 with development centers in the USA, the European Union, India, and the Philippines. Our platform is a modern, AI-powered CRM that brings together support, product, and development teams in one system. It helps SaaS companies manage customer issues, gather feedback, and improve their products—all while showing how these efforts affect revenue. As part of our rapid growth, we are expanding our technical team in the Philippines and are on the lookout for talented and innovative senior QA Engineers to join their mission-driven organization & help us deliver exceptional products. This is an exciting opportunity for professionals who are passionate about innovation and eager to work with cutting-edge technologies in a truly global environment

About the Role: 
As a Mid-Level Test Automation Specialist, you will work with a modern, AI-enabled test automation ecosystem to accelerate testing, improve coverage, and increase confidence in releases. You will help evolve test frameworks, build intelligent test reporting, and contribute to monitoring and alerting systems that strengthen the overall software delivery pipeline.

What You'll Do: 

Test Case Design & Documentation

• Define clear, concise, and maintainable test cases from requirements, specifications, and user stories.
• Use AI tools to assist with test case design and documentation, including generating test scenarios, expanding edge cases, and improving clarity and consistency.
• Ensure coverage across positive, negative, boundary, and edge-case scenarios.
• Leverage AI to identify gaps in coverage and suggest additional scenarios based on user journeys and system behavior.
• Maintain traceability between test cases, user journeys, and product features.

Test Suite Development & Maintenance

• Organize and maintain automated test suites to reflect product changes.
• Refactor outdated or redundant tests, ensuring accuracy and relevance.
• Maintain a clear structure for both manual and automated test suites.

AI-driven Test Automation

• Implement and utilize AI and intelligent agents to accelerate test generation.
• Transition from manual test development to AI-driven automation solutions.

Test Framework Governance

• Oversee maintenance and continuous improvement of existing frameworks.
• Analyze failures/escapes, identify root causes, and implement solutions.
• Drive a culture of quality through ongoing improvements in methodologies.

• Design and develop reports to provide visibility into test suite performance.
• Implement alerting systems for prompt failure notifications.

• Strong experience using Generative AI tools such as Claude, Gemini, or GitHub Copilot to: Generate test cases,Create automation code,Design test plans and workflows.
• Hands-on expertise with LLM prompt engineering, including: Writing effective prompts,Using context windows and system prompts,Iteratively refining prompts for better test coverage and quality. 
• Experience with test automation frameworks (Selenium, Cypress, Playwright), with an emphasis on using AI to accelerate and enhance automation rather than writing everything manually.
• Ability to design agent-based workflows, where AI is used to generate, validate, and evolve test scenarios.
• Strong knowledge of JavaScript. TypeScript and/or Python, with the ability to: Review and audit AI-generated code, Validate correctness, performance, and maintainability. 
• Solid understanding of testing fundamentals, with a mindset focused on: “How to automate testing at scale”. 
• Improving coverage, reliability, and speed using AI-driven approaches.

Nice-to-Have Skills

• Hands-on experience with PyTest, Ginkgo, or similar frameworks.
• Experience with AI Agents and tools for automation test generation.
• Knowledge of test framework design and development.
• Strong understanding of test reporting tools & technologies.

About the Role:

As a Forward Deployed Engineer at DevRev, you will work closely with our pre- and post-sales Customer Experience team by developing solutions over the core platform via applications written in TypeScript, JavaScript, Python, etc. One of the key functions of this role is, building the Knowledge Graph that includes integration of DevRev with other SaaS and non-SaaS systems through webhooks and APIs and/ or real-time communication architectures. You will be expected to employ your creativity and expertise to ideate and shape how AI, analytics and workflows are used in customers' processes.

What You'll Do:

• Customer-facing: 30% working directly with customers.
• Coding & Integration: 70-80% hands-on technical implementation
• Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations that connect DevRev with customers' existing tech stacks and workflows.
• Integrate Systems: Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures for seamless data flow.
• Optimize AI Performance: Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent accuracy and user experience.
• Own Data Insights: Write SQL queries, perform data analysis, and build dashboards to surface insights that drive customer decision-making.
• Prototype & Iterate: Develop rapid proofs-of-concept, conduct live technical demos, and refine solutions based on customer and stakeholder feedback.
• Lead Cross-functional Collaboration: Maintain constant communication loops with customers, engineering, product, customer success, support, and revenue teams to ensure alignment.
• Guide Technical Adoption: Learn and master new tools, then guide customers through critical workflows like code repository integrations and advanced configurations.
• Travel Ready: Willingness to travel up to 30% for on-site implementations, technical workshops, and customer engagements.

What You Bring:

• Experience: 6+ years in software development, systems integration, or platform engineering. Customer-facing experience is a plus.
• Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• Coding Skills: Strong proficiency in TypeScript/JavaScript, Python, data structures and algorithms. (Nice to have: Go)
• Applied AI Knowledge: Familiarity with large language models (LLMs), prompt engineering, frameworks like RAG and function calling, and building evals to validate agentic AI solutions.
• Integration Expertise: Deep experience with large-scale data synchronization (one-way and two-way), API integration patterns (REST, GraphQL, webhooks), and event-driven/pub/sub architectures.
• Cloud & Deployment: Hands-on experience deploying on serverless and edge platforms (AWS Lambda, Google Cloud Functions) with modern DevOps practices (CI/CD, containers, observability).
• Data Transformation: Skilled in data mapping, schema alignment, and working with heterogeneous systems. Understanding of data modeling and graph data structures.
• Observability: Experience implementing clear logging, actionable error surfacing, and telemetry to support faster debugging and issue resolution.
• Context-Aware Systems: Familiarity with Model Context Programming (MCP) for building adaptive, context-aware integrations.
• Problem-Solving: Strong track record triaging and unblocking both technical and non-technical blockers to keep projects moving forward.
• Documentation: Experience writing concise, well-structured documentation that supports long-term team understanding and seamless onboarding.
• Communication: Strong written and verbal skills to articulate technical concepts to engineers, product teams, and business stakeholders.
  
  As part of our hiring process, shortlisted candidates will undergo a Background Verification (BGV). By applying, you consent to sharing personal information required for this process. Any offer made will be subject to successful completion of the BGV.

About Us: 
Our Company is a young and innovative, truly global AI SaaS company founded in 2020 with development centers in the USA, the European Union, India, and the Philippines. Our platform is a modern, AI-powered CRM that brings together support, product, and development teams in one system. It helps SaaS companies manage customer issues, gather feedback, and improve their products—all while showing how these efforts affect revenue. As part of our rapid growth, we are expanding our technical team in the Philippines and are on the lookout for talented and innovative senior QA Engineers to join their mission-driven organization & help us deliver exceptional products. This is an exciting opportunity for professionals who are passionate about innovation and eager to work with cutting-edge technologies in a truly global environment

About the Role: 
As Senior AI QA Automation Specialist, you will leverage a cutting-edge test automation framework to enhance and expedite testing processes, govern and evolve test frameworks, develop a test reporting system, and develop a comprehensive monitoring and alerting system. Your expertise will ensure the robustness, efficiency, and reliability of the software delivery pipeline.

We are seeking a highly skilled Senior AI QA Automation Architect with deep expertise in building and scaling test automation frameworks using the Playwright framework. The ideal candidate has experience defining and driving QA automation strategy across large test suites, implementing clean design principles, and introducing AI-assisted testing methodologies for smarter, more efficient QA cycles.

You will be instrumental in establishing a scalable, maintainable, and robust test automation ecosystem. This role requires both strategic thinking and hands-on execution, serving as a technical leader and mentor to the QA automation team. In this role, you will leverage AI and test automation to enhance and expedite our testing processes, govern and evolve our test frameworks, and develop a comprehensive monitoring and alerting system. Your expertise will ensure the robustness, efficiency, and reliability of our software delivery pipeline.

Key Responsibilities:

• AI-driven Test Automation:
• Implement and utilize AI and intelligent agents to accelerate test generation processes.
• Transition from manual test case development to AI-driven automation solutions, enhancing overall testing efficiency.
• Test case design and documentation:
• Define clear, concise, and comprehensive test cases based on requirements, specifications, and user stories. Ensure test cases cover both positive and negative scenarios, edge cases, and system interactions. Maintain traceability between test cases and product features.
• Test Suite Development & Maintenance:
• Organize and maintain test suites to reflect product changes and evolving test coverage needs. Refactor outdated or redundant tests, ensuring relevance and accuracy. Maintain a clear structure for manual and automated test suites for ease of access and reusability.
• Test Framework Implementation and Governance:
• Design and implement a test automation framework using Playwright for end-to-end web testing that is modular, maintainable, and scalable.
  Create a blueprint and best practices for the QA team to onboard and contribute new automated test cases seamlessly.
• Define coding standards, version control practices, branching strategies, and code review guidelines for the QA automation codebase.
• Integrate test automation into CI/CD pipelines with real-time test reporting.
• Explore and integrate AI-powered tools for test case generation, flakiness detection, and intelligent exploratory testing (e.g., Testim, Mabl, Diffblue, or custom LLM-based test generation tools).
  Champion shift-left testing practices by collaborating with developers, product managers, and DevOps to catch issues early.
• Oversee the maintenance and continuous improvement of the existing test framework.
• Analyze test failures and test escapes to identify root causes and implement solutions.
• Foster a culture of quality through continuous improvements in testing methodologies and frameworks.
• Test reporting and analytics:
• Design and develop test reports to provide visibility into the test suite's performance and failures.
• Implement an effective test failures alerting system to promptly notify feature owners and responsible developers of SUT issues and failures.

Qualifications:

• Minimum Bachelor's degree in Computer Science, Engineering, or a related field.
• 7+ years of experience in Quality Assurance, with 3+ years architecting automation frameworks.
• Deep hands-on experience with Playwright (JavaScript/TypeScript) in a real-world production environment.
• Demonstrated experience building an automation framework from scratch, with organized test categorization, reusability, and CI/CD integration.
• Strong understanding of software testing methodologies, test planning, and test strategy.
• Familiarity with using AI to enhance testing and software development.
• Strong problem-solving skills and attention to detail.
• Experience with test reporting and analytics tools (e.g., Allure, ReportPortal, TestRail)
• Strong scripting and coding skills (JavaScript/TypeScript)
• Experience with test management and defect tracking systems.
• Experience with cloud-based test execution and containerization (Docker, Kubernetes).
• Familiarity with Git, Jenkins/GitHub Actions/Azure DevOps, and cloud services like AWS/GCP is a plus.
• Excellent communication, teamwork, and documentation skills, with a strong ability to advocate for best practices.

Preferred Skills:

• Hands-on experience with AI in software testing, such as using AI for test case generation, code coverage analysis, or flaky test detection.
• Knowledge of test framework design and development.
• Strong understanding of test reporting tools and technologies.

Nice to Have

• Contributions to open-source QA frameworks or tools.
• Familiarity with visual regression tools (e.g., Percy, Applitools).
• Knowledge of performance testing tools and integration with automation pipelines.
• Experience working in Agile/Scrum or DevOps-centric environments.

Join us in innovating our testing processes and ensuring the delivery of high-quality software products through advanced automation techniques.

About the Role:

As a Forward Deployed Engineer at DevRev, you will work closely with our pre- and post-sales Customer Experience team by developing solutions over the core platform via applications written in TypeScript, JavaScript, Python, etc. One of the key functions of this role is, building the Knowledge Graph that includes integration of DevRev with other SaaS and non-SaaS systems through webhooks and APIs and/ or real-time communication architectures. You will be expected to employ your creativity and expertise to ideate and shape how AI, analytics and workflows are used in customers' processes.

What You'll Do:

• Customer-facing: 30% working directly with customers.
• Coding & Integration: 70-80% hands-on technical implementation
• Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations that connect DevRev with customers' existing tech stacks and workflows.
• Integrate Systems: Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures for seamless data flow.
• Optimize AI Performance: Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent accuracy and user experience.
• Own Data Insights: Write SQL queries, perform data analysis, and build dashboards to surface insights that drive customer decision-making.
• Prototype & Iterate: Develop rapid proofs-of-concept, conduct live technical demos, and refine solutions based on customer and stakeholder feedback.
• Lead Cross-functional Collaboration: Maintain constant communication loops with customers, engineering, product, customer success, support, and revenue teams to ensure alignment.
• Guide Technical Adoption: Learn and master new tools, then guide customers through critical workflows like code repository integrations and advanced configurations.
• Travel Ready: Willingness to travel up to 30% for on-site implementations, technical workshops, and customer engagements.

What You Bring:

• Experience: 3+ years in software development, systems integration, or platform engineering. Customer-facing experience is a plus.
• Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• Coding Skills: Strong proficiency in TypeScript/JavaScript, Python, data structures and algorithms. (Nice to have: Go)
• Applied AI Knowledge: Familiarity with large language models (LLMs), prompt engineering, frameworks like RAG and function calling, and building evals to validate agentic AI solutions.
• Integration Expertise: Deep experience with large-scale data synchronization (one-way and two-way), API integration patterns (REST, GraphQL, webhooks), and event-driven/pub/sub architectures.
• Cloud & Deployment: Hands-on experience deploying on serverless and edge platforms (AWS Lambda, Google Cloud Functions) with modern DevOps practices (CI/CD, containers, observability).
• Data Transformation: Skilled in data mapping, schema alignment, and working with heterogeneous systems. Understanding of data modeling and graph data structures.
• Observability: Experience implementing clear logging, actionable error surfacing, and telemetry to support faster debugging and issue resolution.
• Context-Aware Systems: Familiarity with Model Context Programming (MCP) for building adaptive, context-aware integrations.
• Problem-Solving: Strong track record triaging and unblocking both technical and non-technical blockers to keep projects moving forward.
• Documentation: Experience writing concise, well-structured documentation that supports long-term team understanding and seamless onboarding.
• Communication: Strong written and verbal skills to articulate technical concepts to engineers, product teams, and business stakeholders.
  
  As part of our hiring process, shortlisted candidates will undergo a Background Verification (BGV). By applying, you consent to sharing personal information required for this process. Any offer made will be subject to successful completion of the BGV.

About the role:
As our Lead AI Test Automation Specialist, you'll develop testing strategies, evaluation frameworks, and quality metrics specifically designed for LLM-powered applications. This role requires a unique blend of QA expertise, understanding of GenAI behaviour, and automation skills to ensure our AI features are reliable, accurate, and trustworthy.

Key Responsibilities:

• • Design and implement comprehensive testing strategies for GenAI features, including conversational AI, agentic systems, and LLM-powered workflows
  • Develop automated test suites for prompt testing, including regression tests that detect unintended changes in model behaviour
  • Create evaluation frameworks to measure GenAI quality across multiple dimensions (accuracy, relevance, safety, consistency, latency)
  • Build and maintain test datasets and golden examples that represent diverse user scenarios and edge cases
  • Implement monitoring and alerting systems to detect quality degradation in production GenAI features
  • Perform adversarial testing to identify potential failures, hallucinations, biases, or security vulnerabilities in AI systems
  • Collaborate with engineers to define acceptance criteria and quality gates for AI feature releases
  • Develop tools and frameworks that make it easy for engineers to test their GenAI implementations
  • Conduct user acceptance testing and gather feedback on AI feature performance from internal users
  • Document testing procedures, known issues, and quality metrics in clear, accessible formats
  • Partner with Product and Design teams to ensure AI features meet user experience standards
  • Stay current with GenAI testing methodologies, tools, and industry best practices
    
    
  Your Qualifications
  
  
  • PRE or test engineering experience, preferably with AI/ML systems.
  • Strong understanding of GenAI technologies including LLMs, prompt engineering, and AI application patterns
  • Experience with test automation frameworks and scripting (Python, JavaScript, Selenium, Pytest)
  • Knowledge of software testing methodologies (functional, integration, regression, performance, security testing)
  • Ability to design test cases and evaluation criteria for non-deterministic systems
  • Strong analytical and problem-solving skills with attention to detail
  • Experience with API testing tools (Postman, REST Assured) and backend testing
  • Familiarity with CI/CD pipelines and automated testing integration
  • Excellent communication skills for documenting issues and collaboration
    
    
  Preferred Qualifications
  
  
  • Experience testing conversational AI, chatbots, or agentic systems
  • Knowledge of ML model evaluation metrics and techniques
  • Familiarity with LLM evaluation frameworks (LangSmith, PromptFoo, Ragas)
  • Experience with performance testing and load testing AI APIs
  • Understanding of responsible AI principles, including fairness, transparency, and safety testing
  • Background in enterprise software or SaaS QA
  • Experience with test management tools (TestRail, Zephyr, Jira)
  • Knowledge of security testing methodologies for AI systems
  • Scripting experience with Python, including working with LLM APIs
    
    
  What Makes This Role Exciting
  
  
  • Define Quality practices for GenAI applications
  • Work on cutting-edge AI technologies and help ensure they're reliable and trustworthy
  • Shape quality standards that will impact millions of enterprise users
  • Collaborate closely with engineers, data scientists, and product teams
  • Grow expertise in a highly specialized and increasingly important domain
  • Influence the entire AI product development lifecycle from design to release
  • Join a team that values quality as a first-class concern, not an afterthought

Join us in innovating our testing processes and ensuring the delivery of high-quality software products through advanced automation techniques.