Senior Engineer· BengaluruFormer employee3.0/5
Opportunities available, but project access is limited
Pros: Many opportunities from different clients
Cons: Limited access to others projext
View on GlassdoorCompanies
Showing — companies
QualityAI
Information Technology Support Services · 5001 to 10000 Employees · London, United Kingdom
We are the leading AI-first quality engineering company. We deliver end-to-end quality management services across the business and technology life cycle for enterprise customers who need certainty at Go-Live. QualityAI sets itself apart by designing quality rather than merely testing for it. We go beyond the manual constraints of the old world, replacing complex data noise with automated excellence. Our AI-first approach gives organizations the nimble coordination needed to thrive under pressure. From custom machine learning algorithms to continuous engineering, we empower global brands to test faster and anticipate risks well in advance. We are your trusted partner for cutting-edge quality assurance. Whether operating across financial services, health, retail, media, or utilities, we provide an independent layer of accountability. We turn massive, complicated tech systems into spectacular outcomes, giving you the certainty to press go.
Office locations
Bridgewater, NJ, United StatesNew York, NY, United States
1
Open roles tracked
0
Posted last 7 days
1
Posted last 30 days
Jobs at QualityAI ranked for your profile
Open roles at this company sorted by AI match score — skills, experience, and company fit when you are signed in. Guests browse the same roles on the public job board.
See 1 role ranked by match
Want match scores and deeper insight? Create a free candidate profile
Culture signals
- Work-life balance 3.5
- Compensation 2.7
- Culture 3.1
What employees say
+ Many opportunities from different clients
− Limited access to others projext
Employee voices
Recent Glassdoor reviews · 1,645 total
Dot NET Developer· Bangalore RuralCurrent employee4.0/5
Nice career opportunities, but challenging client relationships
Pros: nice carrier opportunities and time for self growth
Cons: i didn't like client , but i got chance to search for other projects and management helped a lot
View on GlassdoorSoftware Engineer· BengaluruCurrent employee2.0/5
Lack of recognition and unpredictable raises
Pros: 1) The leave policy seems to be ok.
Cons: 1)No Recoginition for the work 2)No hike discussion instead they give hike as per their wish
View on GlassdoorAzure Data Engineer· BengaluruCurrent employee4.0/5
AI enhances testing efficiency but comes with challenges
Pros: Saves time – AI can automate repetitive quality-testing tasks and reduce manual work. Faster testing – Large amounts of data or test cases can be analyzed quickly. Improves accuracy – AI can identify patterns, errors, and defects that humans may miss. Automation – Repetitive testing and quality checks can be automated. Early error detection – Problems can be identified earlier in the development process. Better productivity – Teams can focus on more important and creative tasks instead of repetitive checking. Data-driven decisions – AI can analyze historical data and provide useful insights for improving quality. Scalability – It can handle large volumes of test cases and data more easily than manual testing.
Cons: High initial cost – Implementing AI-based quality systems can require significant investment. Requires skilled people – Employees may need training to use and manage AI tools effectively. Data dependency – AI results depend heavily on the quality and quantity of training data. False results – AI may sometimes identify a problem when there is none or miss an actual defect. Maintenance required – AI models and testing systems need regular updates and monitoring. Integration challenges – Connecting QualityAI with existing software and workflows can be difficult. Security and privacy concerns – Sensitive company or customer data may create security risks if handled improperly. Less human judgment – AI can assist with quality assessment but may not fully understand business context or complex human decisions.
View on GlassdoorManager· BengaluruCurrent employee5.0/5
Good work culture
Pros: Flat organisation so good visibility to the management. Insurance vendor is changed. More office engagement activities for employees.
Cons: Perks and benefits can be improved.
View on GlassdoorCompany review data sourced from Glassdoor.
Compensation benchmarks
Glassdoor salary estimates for top hiring roles · 2,457 salary reports on Glassdoor
| Role | Location | Median | Range (LPA) | Reports |
|---|---|---|---|---|
| Engineering | India | — | — – — | — |
Salary benchmarks are estimates from Glassdoor and may differ from individual job listings.
Interview experiences
India-scoped Glassdoor interview reports · 143 total · avg difficulty 2.9/5 · 160 questions indexed
Azure Data Engineer· BengaluruAverageaccept offer
Resume Screening Your resume is reviewed based on your skills, experience, projects, and relevant technologies. Initial HR/Recruiter Round Basic questions about your background, education, experience, salary expectations, and availability. Example: “Tell me about yourself.” Technical Assessment Questions may cover your role-specific skills. For a QA/Data/AI-related role, this could include SQL, Python, testing concepts, data validation, APIs, automation, and AI/ML basics. Technical Interview More detailed discussion of your technical knowledge and previous projects. You may also be given practical or scenario-based questions. Managerial/Project Round Focuses on problem-solving, communication, teamwork, ownership, and how you handle real project situations. HR/Final Round Discussion about compensation, joining date, work preferences, and company policies. Offer & Onboarding If selected, you receive the offer and proceed with documentation and onboarding.
Sample questions
- Tell me about yourself. Explain your current/previous project. SQL What is the difference between WHERE and HAVING? Explain different types of joins. What is a window function? How do you find duplicate records? How do you find the second-highest salary? Explain ROW_NUMBER(), RANK(), and DENSE_RANK(). How do you find records where a value changed from the previous date? Python What are lists, tuples, sets, and dictionaries? What is the difference between == and is? What are functions and lambda functions? Explain OOP concepts. What is inheritance? What is an abstract class? Write a Python program to reverse a string. How do you handle exceptions? little bit pyspark question
Data Scientist· BengaluruVery_easyno offer
I Would say the screeing round was quite basic but the interviewer not having attention on your answers for the given 15 min and transitioning between work and interview is something that disturbs you, makes you feel underconfident on the onset of the interview.
Sample questions
- Project on Resume, Python, API - HTTP, FASTAPI
Devops Engineer· BengaluruAverageno offer
1.intro 2.common git commands 3.git rebase vs git squash 4.rename branch 5.mutable vs immutable 6.is int mutable 7.write a python code to print i values print i=1 i =2 how they are printing 8.if int is not mutable how the value is changing 9.python is dynamically typed 10.python scrpiting usecases 11.unix vs linux 12.print first char of each line 13.design a cicd pipeline that ci should be in jenkins and cd should be in gitlab 14.trigger the pipeline from backend using curl post requests 15.before script and after script 16.quality gates in sonarqube 17.sneak security tool 18.service now tool 19.eks and eca
SOC Analyst· Bangalore RuralAverageno offer
The interview process had three rounds. The first round covered basic cybersecurity concepts. The second round focused on technical questions related to tools mentioned in my resume. The final round was an HR discussion.”
Sample questions
- Cyber security basic questions and 2nd full technical basis on ur resume
Engineer· IndiaAveragedecline offer
Unprofessional interview process. Need better interviewers. Noticed a lack of respect and a lot of unnecessary attitude. If this is what the people are like before entering the company, can't imagine the work culture.
Sample questions
- A few scenario based questions
Top hiring roles: Engineering
Open engineering roles
QualityAI hiring FAQ
Last updated 6 October 2026
- Is QualityAI hiring on Feedback AI?
- QualityAI has 1 active open role on Feedback AI today. Roles are listed for London, United Kingdom and other hubs where posted. Browse open engineering listings on this company profile or sign up free to see AI match scores for each role.
- How many open roles does QualityAI have?
- Feedback AI tracks 1 active QualityAI job listing right now. Counts refresh from live postings — inactive listings are removed from the public board.
- How does Feedback AI match candidates to QualityAI jobs?
- Upload a resume or add skills after free signup. Feedback AI compares your profile to each job description and ranks roles by match score with skill gaps — the same ranking employers see when reviewing applicants.
- What is it like to interview at QualityAI?
- This profile includes 143 Glassdoor-backed interview experiences when enrichment gates pass — process notes, difficulty, and sample questions where available.
Want match scores and deeper company insight? Create a free candidate profile.