Senior Quality Engineer – AI Products
Fulltime
Remote
Requirements
● 3-7 years of experience in software quality engineering, preferably in SaaS environments with a platform or infrastructure focus.
● Strong demonstrated experience testing distributed systems, APIs, data pipelines, or cloud-based infrastructure.
● Experience designing and executing test plans for AI/ML systems, data pipelines, or shared platform services.
● Familiarity with AI/LLM infrastructure concepts such as retrieval-augmented generation (RAG), vector search, model routing, and observability.
● Strong demonstrated proficiency in Linux distributions and CLI-based testing, including log file analysis and other troubleshooting tasks.
● Experience with AWS or other major cloud platforms.
● Basic Python/Shell scripting knowledge with ability to edit existing scripts and create new automation for pipeline validation.
● Advanced skills with API and SQL testing methodologies.
● Familiarity with test management tools such as TestRail; experience with Qase is a plus.
● Demonstrated experience leveraging Version Control Systems with a focus on GitHub.
● Experience with testing tools: Jira, Sentry, DataDog.
● Strong understanding of Agile/Scrum methodologies.
● Proven track record of mentoring junior engineers and contributing to process improvements.
● Excellent analytical and problem-solving abilities.
● Strong communication skills with ability to present to both technical and non-technical stakeholders.
● Proficiency in English (C1-C2 level).
● Most importantly: The courage to be vocal about quality concerns, platform risks, and testing impediments.
Preferred Qualifications
● Experience with AI/ML evaluation frameworks or tools (e.g., LLM-as-judge, Ragas, custom eval harnesses).
● Hands-on experience with document parsing, OCR, or unstructured data pipelines.
● Experience with observability tooling (e.g., Datadog, Grafana, OpenTelemetry) from a QA perspective.
● Experience testing SaaS products in regulated industries (such as PCI-compliant).
● Basic understanding of containerization, Kubernetes, and CI/CD pipelines (Jenkins, CircleCI).
● Experience with microservice architectures and distributed systems.
● Knowledge of basic non-functional testing (security, performance) with emphasis on AI-specific concerns.
● Background in security or compliance testing for AI systems.
● Certifications such as ISTQB or CSTE.
● Experience working in legal technology, fintech, or professional services software.
● Familiarity with AI-assisted testing tools and leveraging LLMs as a productivity-boosting tool.
● Experience evaluating and implementing new QE tools and processes

About VDart
About
VDart - We are a global, emerging technology staffing solutions provider with expertise in SMAC (Social, Mobile, Analytics & Cloud), Enterprise Resource Planning (Oracle Applications, SAP), Business Intelligence (Hyperion), and Infrastructure services. We work with leading System Integrators in, the private and public sectors. We have deep industry expertise and focus in BFSI, Manufacturing, Energy & Utility, Healthcare and Technology sector. Our scope, knowledge, industry expertise, and global footprint have enabled us to provide best in the industry solutions. With our Core focus in emerging technologies, we have provided global technology workforce solutions in USA, Canada, Mexico, Brazil, UK, Australia & India. We take pride in delivering specialized talent, superior performance, and seamless execution to meet the challenging business needs of customers worldwide.
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About the job
Job Description: Area Sales Manager Education Sector
Market Segment: B2B
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- Willingness to travel within the assigned territory as required.
- Bachelor's or Master’s degree in business, marketing, education, or a related field is preferred.
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- Startup Environment - Work with a passionate and energetic team driven by results.
- Growth & Compensation: Competitive Salary + High Incentive + Conveyance
Few Pointers
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- Salary: As per industry standard.
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1) Good experience in Java
2) Hands-on experience in Spring boot
3) Hands-on experience in Microservices
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• Agile software development
• Software Engineering processes
• Process Improvement
Desirable
• Experience managing software development organizations with greater than 100 resources
• Experience leading software efficiency improvement programs
• Experience with mobile app and server development
• Understanding of the process differences between product development and professional services
Qualifications
• Minimum 15 years of experience managing software engineering resources
• Degree in computing or engineering

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