QA Lead (AI/ML Products)

About the Role

We are looking for an experienced Senior QA Engineer to join our engineering team in Hyderabad. This is primarily a Manual QA role for someone who takes strong ownership of product quality and system stability. The ideal candidate should be proactive in identifying issues before they impact users, maintaining strong regression coverage, monitoring production behaviour, and working closely with developers to continuously improve application reliability.

Experience with test automation is a strong advantage, but the primary focus of this role is hands-on manual testing and quality ownership.

Key Responsibilities

· Own end-to-end quality across new features, existing functionality, integrations, and production releases.

· Perform functional, regression, integration, API, exploratory, smoke, and end-to-end testing across web applications and backend services.

· Build and maintain comprehensive test cases, regression suites, checklists, and release validation processes.

· Proactively monitor applications and production behaviour, identify unusual patterns or failures, and investigate issues before they become customer-impacting problems.

· Work closely with developers and product teams to reproduce issues, identify root causes, validate fixes, and prevent regressions.

· Test APIs and third-party integrations using tools such as Postman and validate data directly using MySQL.

· Take ownership of release quality, production stability, defect prevention, and continuous improvement of QA processes.

· Contribute to automation testing where appropriate and help identify high-value areas for automation.

Required Skills & Experience

· 5+ years of professional QA/testing experience, with strong hands-on experience in manual testing.

· Strong experience with functional testing, regression testing, integration testing, exploratory testing, release testing, and defect management.

· Strong working knowledge of MySQL, including writing queries to validate data, investigate issues, and troubleshoot application behaviour.

· Experience testing REST APIs, third-party integrations, and backend services, preferably using Postman or similar tools.

· Good understanding of web applications, client-server architecture, APIs, databases, authentication, and common application workflows.

· Experience with production monitoring, log analysis, incident investigation, root-cause analysis, and post-release validation.

· Ability to create clear test scenarios, identify edge cases, reproduce complex issues, and communicate defects effectively.

· Strong ownership, problem-solving, attention to detail, and communication skills.

Automation – Good to Have

Experience with Playwright, Selenium, Cypress, or similar automation frameworks would be an advantage. The candidate should be able to identify scenarios that are suitable for automation, contribute to automated regression coverage, and work with developers to improve overall test efficiency.

What We Are Looking For

We are looking for someone who thinks beyond simply executing test cases. The successful candidate should take personal ownership of application quality and stability, proactively look for weaknesses in the system, question assumptions, identify risks, and continuously improve regression coverage.

They should be comfortable monitoring production behaviour, investigating problems independently, following issues through to resolution, and ensuring that fixes do not introduce new regressions. The candidate must be comfortable working with an international team and willing to work from our Hyderabad office during UK business hours.

About Us

We’re building the next generation of AI-powered business software, and we’re looking for people who want to shape that future with us. With Lumen, we’re reimagining how users interact with CRM — moving beyond screens, menus and dashboards to an intelligent interface where users can simply ask AI to take actions, retrieve knowledge, generate insights and get work done. With Agent Studio, we’re enabling businesses to build, test and deploy their own AI agents for real-world workflows. And with Invorto, we’re bringing AI to voice, allowing businesses to create intelligent voice agents tailored to their customer and operational use cases.

What makes this especially exciting is the stage and scale of the opportunity. You’ll get to work on genuinely hard problems across LLMs, agents, reasoning, orchestration, voice AI, evaluation, reliability and enterprise security — not as isolated experiments, but as products used in real business workflows. You’ll have the opportunity to build zero-to-one, own meaningful parts of the product end-to-end, work closely with customers, experiment rapidly, and see your work reach production at scale.

Why join now? Because the playbook for enterprise AI is still being written. You won’t just be implementing someone else’s roadmap — you’ll help define the product, architecture and experiences that become that playbook. Expect high ownership, fast iteration, hard technical and product problems, direct customer impact, and the chance to build AI systems that have to work reliably in the real world — not just in a demo.

About the Role

We are looking for a QA Engineer who specializes in testing agentic AI platforms. You will design and automate quality processes for systems that involve LLMs, autonomous agents, tool use and orchestration across Lumen and Agent Studio — ensuring that AI-driven workflows behave reliably, safely and predictably in production, not just in a demo.

What You’ll Do

• Design and build automated test suites and evaluation frameworks for agentic AI workflows, including multi-step and tool-calling behaviors.
• Use AI/LLM-based QA tools and evaluation frameworks to test model outputs, agent decisions and end-to-end task completion at scale.
• Define quality metrics and benchmarks for agent reliability, correctness, latency and safety, and track them over releases.
• Identify edge cases, failure modes and regressions specific to non-deterministic AI systems, and build automated checks to catch them early.
• Integrate automated agent/LLM testing into CI/CD pipelines to support fast, reliable iteration.
• Partner closely with AI/ML and backend engineers to reproduce issues, root-cause failures and validate fixes.
• Work with customers and customer-facing teams to understand real-world usage patterns and translate them into test scenarios.

What We’re Looking For

• 2–4 years of QA/test automation experience, including hands-on work testing agentic AI or LLM-based platforms.
• Practical experience using AI-focused QA/evaluation tools to test agent behavior, prompts and model outputs.
• Strong scripting/automation skills (Python preferred) to build and maintain test frameworks.
• Understanding of how LLM-based agents work — tool calling, orchestration, memory, reasoning chains — well enough to design meaningful test cases.
• Comfort working with non-deterministic systems and designing evaluation approaches beyond traditional pass/fail testing.
• Strong communication skills — this is a customer-facing role, and you will be expected to clearly articulate technical concepts, decisions and trade-offs to both technical and non-technical stakeholders, including customers.

Good to Have

• Experience testing voice AI or real-time conversational systems.
• Familiarity with CRM or enterprise SaaS platforms.
• Exposure to enterprise security or compliance testing for AI systems.

• 12 - 16 years of experience in Enterprise Software Product Engineering (Development/Quality) 
• Working experience with Enterprise SaaS product companies 
• 6+ years of experience in leading/managing multi-discipline activities - manual, automation, performance and security testing. 
• Experience with AI powered test automation frameworks like Playwright, TestRigor etc is preferable. 
• Experience with security and performance testing tools like BurpSuite, Locust, K6 etc   
• Strong experience in generating and presenting data/metric driven reports to exec/C-level stakeholders. 
• Self drive to achieve team and organization goals with high ROI 
• Result oriented collaborator and enabler of success. 
• Preferred: 
• Enterprise software experience withing the Life Sciences industry and good understanding of GxP requirements 
• Knowledge of cloud native, distributed architecture 

Responsibilities:

• Lead the overall strategy, execution, reporting of ValGenesis’s platform/integration testing activities 
• Own the strategic vision and establish the Software QA processes, tools, frameworks. Ensure, Monitor and Measure of the same in terms of rollout, adoption, results. 
• Change advocate of lean and efficient working – Processes, Tools, Resources. 
• Work with the engineering and cross-functional leaders along with the developers/testers to achieve continuous and incremental quality improvement across all products. 
• Own and deliver automation, security, performance testing frameworks/tools/strategies.  
• Enable the adoption of such tools/frameworks during development phase. 
• Build tools to monitor and generate metrics of all QA activities - test definition, execution, results, production incidents etc. 
• Build a strategy and deliver capabilities to fully automate computer software validation for all product releases. 
• Build and sustain high performance teams – Hiring, Performance and Talent Management 

About the team

SecurITe’s mission is to build an Agentic‑AI driven security platform that protects critical infrastructure from modern cyber threats. Our focus is on delivering highly performant, resilient, and intelligent network security systems that help defenders stay ahead of adversaries.

About the Role

We’re looking for a seasoned Senior Quality Engineer to provide technical leadership and architectural oversight for our next‑generation cybersecurity AI platform. In this high-impact role, you will define the technical strategy for quality assurance, ensuring our agentic AI transforms cyber defense with unparalleled reliability.

You will be responsible for the end-to-end quality lifecycle, from architectural reviews to the deployment of scalable automation frameworks. Beyond technical execution, you will serve as a mentor to junior team members, fostering a culture of technical excellence and driving the strategy that ensures our solutions meet the rigorous demands of critical infrastructure protection.

What You’ll Do

●    Defining and driving comprehensive QA strategies and roadmaps for the cybersecurity platform.

●    Designing, developing, and executing test plans, test cases, and automated scripts to ensure software quality.

●    Performing functional, regression, performance, scalability and security testing to identify bugs or defects.

●    Collaborating with developers, product managers, and other stakeholders to understand product requirements and testing needs.

●    Identifying, documenting, and tracking software defects, ensuring clear communication of issues and their resolutions.

●    Leading deep-dive root-cause analysis for critical system defects and security vulnerabilities.

●    Conducting thorough reviews of product specifications and software design to identify potential areas of concern before testing.

●    Architecting and designing complex, scalable test automation frameworks to optimize CI/CD velocity.

●    Ensuring the software meets customer and business requirements by validating the functionality and performance.

●    Assisting in continuously improving QA processes, tools, and best practices to enhance software testing efficiency and effectiveness.

●    Supporting user acceptance testing (UAT) and assisting clients with product validation.

●    Mentoring junior and mid-level engineers, providing technical guidance and conducting architectural reviews.

Required Experience

●    A Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, or a related field.

●    8-10 years of proven experience in quality engineering, specifically within network cybersecurity, Identity Providers, or AI-integrated platforms.

●    Expertise in manual and automated testing.

●    Deep domain expertise in complex system validation and advanced automation practices at scale.

●    Proficiency in programming languages like Python to build and run automated test scripts.

●    "Strong knowledge of software testing methodologies, performance testing tools (e.g., JMeter, k6), and security traffic generation/simulation tools (e.g., Ixia BreakingPoint, Scapy, or Snort/Suricata traffic generators)."

●    Understanding of continuous integration/continuous deployment (CI/CD) pipelines and version control systems like Git.

●    Strong communication skills for documenting test results and interacting with cross-functional teams.

●    Excellent analytical skills, attention to detail, and problem-solving ability.

●    Ability to work independently as well as collaboratively in a team environment.

●    A curious mindset with a willingness to quickly learn new technologies and testing tools.

Required Skills & Qualifications

●    Familiarity with cloud-based testing environments (GCP, AWS, Azure).

●    Experience with cybersecurity products or cloud services or IDP or Web UI

The Mindset

●    Problem Solver: You thrive on complex, ambiguous challenges and engineer elegant solutions.

●    Ownership‑Driven: You take initiative, move fast, and deliver outcomes without hand‑holding.

●    Continuous Learner: You stay ahead of the curve in AI, ML, and emerging technologies.

●    Startup DNA: You excel in fast‑moving environments where priorities evolve and impact is immediate.

Required Skills:-

• 4+ years of experience in Software Testing (Manual & Automation).
• Strong experience with Selenium or Playwright.
• Hands-on experience in API Testing (Postman, REST Assured, Swagger, etc.).
• Experience with CI/CD pipelines (Jenkins, GitLab CI, Azure DevOps, GitHub Actions).
• Strong understanding of Functional, Regression, and Non-functional Testing.
• Excellent analytical and debugging skills.

AI-Specific Skills

• Hands-on experience in GenAI / AI Testing.
• Experience testing LLM-based applications.
• Strong understanding of prompt engineering and prompt validation.
• Knowledge of LLM behavior, model variability, and non-deterministic outputs.
• Experience validating AI outputs for accuracy, hallucinations, bias, and safety.
• Test data management for AI applications.
• Understanding of Responsible AI testing concepts.

Total exp: 5-8 Years

Client: MRI Software

Location: Vadodara

Budget: Look for decent with experience

Mode interview: 1 Virtual

Mode of Work: Hybrid

QA Engineer:

Job Summary/Objective 

Quality Assurance Engineers at MRI collaborate closely with Product Management and Product Development teams to deliver high-quality, high-performance products for our clients. In this role, QA Engineers are responsible for creating and contributing to the documentation of user stories and acceptance criteria, working alongside product owners and development teams. They define manual and automation testing strategies, tools, scenarios, and plans for both web and mobile products, ensuring comprehensive functional and performance testing. 

 QA Engineers will execute static, dynamic, and performance testing while providing detailed reporting and feedback throughout the development lifecycle. They are expected to demonstrate strong technical skills, including expertise in back-end development, database queries, and keen attention to detail. Effective written, verbal, and organizational communication is essential. 

 In addition, QA Engineers will leverage AI to optimize and automate repetitive tasks, thereby enhancing the overall efficiency and effectiveness of QA processes, ensuring a faster, more accurate testing cycle.

Tools and technology:

1.     Tools: Jira, Xray, TFVC, Git

2.     API: REST, SOAP, SoapUI, Postman

3.     Automation: C#, JavaScript, TypeScript, Ruby, Playwright, SpecFlow

4.     Database: SQL

Senior QA Engineer

Make quality part of the engineering system.

AbleCredit builds software for complex enterprise workflows where AI, APIs, business rules, human decisions, and real-world operations have to work together reliably. We care about building products that work in production - not just in demos. We're looking for a senior quality engineer who can move quality upstream: from release-time testing to better automation, contracts, observability, and engineering practices.

What You'll Own?

• Own quality strategy across web, mobile, backend APIs, integrations, and end-to-end workflows.

• Design and maintain automated regression suites for critical customer journeys.

• Build API, integration, contract, and workflow tests that catch failures before production.

• Partner with engineering and product teams during design - not only after development is complete.

• Define release readiness, risk-based testing, and production validation practices.

• Investigate escaped defects, identify systemic causes, and drive preventive improvements.

• Improve test data, environments, tooling, and CI integration so teams can ship confidently.

What We're Looking For?

• 5+ years in software quality engineering or test automation.

• Strong API and backend testing experience, including asynchronous and integration-heavy systems.

• Experience testing mobile and web applications and understanding client/ server failure modes.

• Ability to write automation in JavaScript/ TypeScript, Python, Java, or a similar language.

• Strong debugging skills across logs, network requests, databases, and distributed services.

• Experience with CI/CD and integrating automated tests into release pipelines.

• A product mindset: prioritize risk and customer impact rather than maximizing test-case counts.

Nice to Have

• Performance, load, security, or reliability testing.

• Experience with Playwright, Cypress, Appium, Postman/ Newman, k6, or similar tooling.

• Experience with event-driven systems, queues, webhooks, and long running workflows.

• Experience testing AI-assisted or non-deterministic product behavior.

How We Think About Quality?

Quality is an engineering responsibility. Automation should create confidence, not dashboards. A production escape should improve the system that allowed it to happen. The goal is simple: ship quickly without making customers our test environment.

Total exp: 5-8 Years

Client: MRI Software

Location: Vadodara

Budget: Look for decent with experience

Mode interview: 1 Virtual

Mode of Work: Hybrid

QA Engineer:

Job Summary/Objective 

Quality Assurance Engineers at MRI collaborate closely with Product Management and Product Development teams to deliver high-quality, high-performance products for our clients. In this role, QA Engineers are responsible for creating and contributing to the documentation of user stories and acceptance criteria, working alongside product owners and development teams. They define manual and automation testing strategies, tools, scenarios, and plans for both web and mobile products, ensuring comprehensive functional and performance testing. 

 QA Engineers will execute static, dynamic, and performance testing while providing detailed reporting and feedback throughout the development lifecycle. They are expected to demonstrate strong technical skills, including expertise in back-end development, database queries, and keen attention to detail. Effective written, verbal, and organizational communication is essential. 

 In addition, QA Engineers will leverage AI to optimize and automate repetitive tasks, thereby enhancing the overall efficiency and effectiveness of QA processes, ensuring a faster, more accurate testing cycle.

Tools and technology:

1.     Tools: Jira, Xray, TFVC, Git

2.     API: REST, SOAP, SoapUI, Postman

3.     Automation: C#, JavaScript, TypeScript, Ruby, Playwright, SpecFlow

4.     Database: SQL

• Web Application Testing: Design, document, and execute comprehensive functional test plans and test cases for complex, highly interactive web applications, ensuring they meet specified requirements and provide an excellent user experience.
• Backend API Testing: Possess deep expertise in validating backend RESTful and/or SOAP APIs. This includes testing request/response payloads, status codes, data integrity, security, and robust error handling mechanisms.
• Data Validation with SQL: Write and execute complex SQL queries (joins, aggregations, conditional logic) to perform backend data checks, verify application states, and ensure data integrity across integration points.
• I Automation (Playwright & TypeScript):
• Design, develop, and maintain robust, scalable, and reusable UI automation scripts using Playwright and TypeScript.
• Integrate automation suites into Continuous Integration/Continuous Deployment (CI/CD) pipelines.
• Implement advanced automation patterns and frameworks (e.g., Page Object Model) to enhance maintainability.
• Prompt-Based Automation: Demonstrate familiarity or hands-on experience with emerging AI-driven or prompt-based automation approaches and tools to accelerate test case generation and execution.
• API Automation: Develop and maintain automated test suites for APIs to ensure reliability and performance.
• JMeter Proficiency: Utilize Apache JMeter to design, script, and execute robust API load testing and stress testing scenarios.
• Analyze performance metrics, identify bottlenecks (e.g., response time, throughput), and provide actionable reports to development teams.
• Experience: 4+ years of professional experience in Quality Assurance and Software Testing, with a strong focus on automation.
• Automation Stack: Expert-level proficiency in developing and maintaining automation scripts using Playwright and TypeScript.
• Testing Tools: Proven experience with API testing tools (e.g., Postman, Swagger) and strong functional testing methodologies.
• Database Skills: Highly proficient in writing and executing complex SQL queries for data validation and backend verification.
• Performance: Hands-on experience with Apache JMeter for API performance and load testing.
• Communication: Excellent communication and collaboration skills to work effectively with cross-functional teams (Developers, Product Managers).
• Problem-Solving: Strong analytical and debugging skills to efficiently isolate and report defects.

Quality Assurance Engineer

Location: Remote

Experience: 9–12 Years

Notice Period: Immediate Joiner only

JD:

API Testing: Postman/Swagger

Test Management & Defect Tracking: Jira, Test Director, TFS, Quality Center

Database Testing: SQL (Query Writing & Validation)

Domain Knowledge: US Healthcare Systems, HIPAA, HL7

Methodology: Agile (Scrum)