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🤖 15+ AI Agents working for you. Find jobs, score and update resumes, cover letter, interview questions, missing keywords, and lots more.
Grid Dynamics • Chennai, Tamil Nadu, India
Role & seniority: Senior QA Automation Engineer (5+ years), with proven track record building test automation frameworks from scratch.
Stack / tools: QA Automation, GenAI / ML testing (LLMs, RAG architectures, ML data pipelines), data preparation and validation, SQL/NoSQL querying, advanced Python, system design for QA in cloud-native microservices.
Architect and implement automated testing frameworks for complex, distributed cloud-native microservices.
Lead GenAI / ML testing efforts (LLMs, RAG, ML data pipelines) and curate scalable datasets for model evaluation.
Ensure data quality through rigorous data preparation, validation, and tooling across testing pipelines.
5+ years in QA Automation; proven framework development from scratch
Hands-on GenAI / ML testing experience
Data quality mastery (data prep, validation; SQL/NoSQL querying; dataset curation)
Advanced Python proficiency
Ability to design automated testing strategies for distributed microservices
Experience in eCommerce domain
Knowledge of AgentOps and autonomous AI agent lifecycles
Familiarity with visual IDEs and debugging tools for AI environments
Strong cross-functional communication (Data Engineering, Data Science, Product)
Location & work type: Not specified; offers flexible schedule with office options and standard benefits (medical, sports, dev opportunities); full-time.
About the compan
Must-haves
Senior Expertise: 5+ years of experience in QA Automation, with a proven track record of building test automation frameworks from scratch.
GenAI / ML Testing: Hands-on experience testing Large Language Models, RAG architectures, or Machine Learning data pipelines.
Data Quality Mastery: Strong understanding of data preparation, data validation, and SQL/NoSQL querying. Experience curating scalable datasets for model evaluation.
Python Proficiency: Advanced Python programming skills, as the AI ecosystem is heavily Python-centric.
System Design for QA: Ability to architect automated testing strategies for complex, distributed cloud-native microservices.
Responsibilities
Senior Expertise: 5+ years of experience in QA Automation, with a proven track record of building test automation frameworks from scratch.
GenAI / ML Testing: Hands-on experience testing Large Language Models, RAG architectures, or Machine Learning data pipelines.
Data Quality Mastery: Strong understanding of data preparation, data validation, and SQL/NoSQL querying. Experience curating scalable datasets for model evaluation.
Python Proficiency: Advanced Python programming skills, as the AI ecosystem is heavily Python-centric.
System Design for QA: Ability to architect automated testing strategies for complex, distributed cloud-native microservices.
Requirements
Senior Expertise: 5+ years of experience in QA Automation, with a proven track record of building test automation frameworks from scratch.
GenAI / ML Testing: Hands-on experience testing Large Language Models, RAG architectures, or Machine Learning data pipelines.
Data Quality Mastery: Strong understanding of data preparation, data validation, and SQL/NoSQL querying. Experience curating scalable datasets for model evaluation.
Python Proficiency: Advanced Python programming skills, as the AI ecosystem is heavily Python-centric.
System Design for QA: Ability to architect automated testing strategies for complex, distributed cloud-native microservices.
Nice to have
Nice-to-haves
Experience working in the eCommerce domain Knowledge of AgentOps and the lifecycle of autonomous AI agents. Familiarity with visual IDEs and debugging tools specific to AI development environments. Strong communication skills to advocate for quality standards across cross-functional teams (Data Engineering, Data Science, and Product).
We offer
Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office
About Us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.