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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
Stack / tools
GenAI/ML testing (LLMs, RAG, ML data pipelines)
Python (advanced)
Data quality, data prep, SQL/NoSQL
Automated testing frameworks; cloud-native microservices
Familiarity with AI development tools, visual IDEs (nice-to-have)
Top 3 responsibilities
Architect and implement automated testing strategies for complex, distributed cloud-native microservices
Build and own test automation frameworks from scratch; validate GenAI/ML models and data pipelines
Ensure data quality through data preparation, validation, and scalable dataset curation for model evaluation
Must-have skills
5+ years QA Automation experience; track record of building frameworks from scratch
Hands-on GenAI/ML testing experience (LLMs, RAG, ML data pipelines)
Strong data quality expertise; SQL/NoSQL querying; scalable dataset curation
Advanced Python programming
System design capability for QA in distributed cloud environments
Nice-to-haves
Experience in eCommerce domain
Knowledge of AgentOps and autonomous AI agent lifecycles
Familiarity with visual IDEs and debugging tools for AI development
Strong cross-functional communication (Data Engineering, Data Science, Product)
Location & work type
Location: Not specified
Work type: Full-time with flexible schedule; benefits include medical, flexible work options, and professional development
About/offer snapshot (summary)
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.
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).
Responsibilities
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
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.