Data Scientist

Key Responsibilities :

• Design and implement end-to-end generative AI solutions including RAG chatbots, LLM-powered BI systems, and coding agents
• Develop and deploy AI agents using frameworks like LangGraph and similar orchestration tools
• Build robust data processing pipelines using LlamaIndex and related libraries for document ingestion and retrieval
• Implement and optimize vector databases for semantic search and retrieval systems
• Integrate multiple LLM providers (OpenAI, Gemini, Anthropic) and evaluate model performance
• Set up comprehensive observability and monitoring using tools like LangSmith
• Collaborate with engineering teams to productionize ML models and AI applications

Required Skills :

Generative AI (Minimum Requirements) :

Good to Have :

Additional Requirements :

Grid Dynamics (Nasdaq : GDYN) is a digital-native technology services provider that accelerates growth and bolsters competitive advantage for Fortune 1000 companies. Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization. Grid Dynamics achieves high speed-to-market, quality, and efficiency by using technology accelerators, an agile delivery culture, and its pool of global engineering talent. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the US, UK, Netherlands, Mexico, India, Central and Eastern Europe.

To learn more about Grid Dynamics, please visit www.Griddynamics.Com . Follow us on Facebook , Twitter , and LinkedIn .