Other
Salary: Competitive Salary
Job Type: Full time
Experience: Senior Level
Diabolocom
Ai Senior Qa Engineer Full (Remote)
Ai Senior Qa Engineer Full | Diabolocom | Italy
Diabolocom empowers organizations worldwide to build brand loyalty anddrive sales growth through our innovative cloud-based solutions for contactcenters. Our dedicated AI team is at the forefront of developing AIsolutions specifically designed for customer relations. These includefeatures like transcription, call summary and tagging, sentiment analysis,quality monitoring, and voicebot technologies....
Your Mission:
If you’re excited about the opportunity to work on innovative AI technologies and make a significant impact on customer relations in contact centers, we’d love to hear from you!Join us and become a part of our journey to revolutionize customer experience through AI.
What We’re Looking For:
Technical Skills:
Soft Skills:
What’s in It for You:
Hiring Process:
Ai Senior Qa Engineer Full | Diabolocom | Italy
Diabolocom empowers organizations worldwide to build brand loyalty and drive sales growth through our innovative cloud-based solutions for contact centers. Our dedicated AI team is at the forefront of developing AI solutions specifically designed for customer relations. These include features like transcription, call summary and tagging, sentiment analysis, quality monitoring, and voicebot technologies.
Easily integrated via our APIs, these AI services optimize customer satisfaction and operational costs while being proprietary, sovereign, and scalable. With offices across Europe, the USA, Brazil, and the UAE, Diabolocom proudly serves over 350 clients with agents operating from more than 60 countries.
Your Mission:
As a Senior QA Engineer (SDET) on our AI team, you will play a crucial role in establishing and executing a quality strategy for our AI-driven products. You’ll collaborate closely with our AI development and product teams to validate the outputs of large language models (LLMs) based on specific inputs and datasets. Your focus will be on automated UI and API testing, ensuring our AI services meet the highest standards of quality and reliability. If you’re a seasoned QA professional with a strong background in Python, an ownership mentality, and a passion for quality in AI technologies, we want to hear from you!
If you’re excited about the opportunity to work on innovative AI technologies and make a significant impact on customer relations in contact centers, we’d love to hear from you!Join us and become a part of our journey to revolutionize customer experience through AI.
What We’re Looking For:
- At least 5 years of experience as a QA Engineer or SDET.
- Experience in testing AI models or machine learning applications would be a great advantage.
Technical Skills:
- Proficiency in Python for developing test automation solutions.
- Strong understanding of CI/CD pipelines and Continuous Testing concepts.
- Hands-on experience setting up quality gates in delivery pipelines.
- Experience with automated UI and API testing frameworks.
- Familiarity with testing large language models (LLMs) and validating AI outputs.
- Knowledge of RESTful APIs, HTTP protocols, and network interfaces.
- Understanding of BDD and TDD principles.
- Experience in building comprehensive test plans and strategies.
Soft Skills:
- Strong problem-solving abilities and attention to detail.
- Excellent communication skills in spoken and written English.
- Ability to work collaboratively in a remote and multicultural environment.
- Ownership attitude with a proactive approach to quality assurance.
What’s in It for You:
- Impactful Work: Play a key role in shaping the future of AI-driven customer experience and contact center solutions.
- Growth Opportunities: Join us at a pivotal stage of development with significant growth and paradigm shifts.
- Flexible Work Environment: Fully remote position.
- Innovative Culture: Work with cutting-edge AI technologies and proprietary models designed for customer relations.
Hiring Process:
1. Coding Challenge in Hackerrank
2. Introductory call with a Talent Acquisition Manager (30-45 minutes)
3. Technical Interview with the Head of AI Operations ( 45 minutes)
4. Team fit interview with our AI Product Owner and Head of AI (60 minutes)
5. Job offer meeting with the Head of QA ( 20 minutes)
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