Scale existing RAG solution in Azure cloud to much more users and data, improve performance

Develop libraries or plugins to improve response consistency and quality through pre-built prompts, templates, and best practices for effective prompt crafting.

Performance tuning to handle large payloads, such as performance testing scripts, to deliver complete responses.

Extend support for a wide range of file formats, including XML, HTML, and HAR, in addition to standard Microsoft product documents (Word, PowerPoint, Excel, PDF).

Leverage multi-vector retrieval techniques to enhance the tool's functionality and effectively handle large data sets.

Strong expertise in Python and PySpark with over 5 years of hands-on experience in developing scalable data processing and analytics solutions.

Azure cloud experience.

Experience of developing and refactoring scalable and robust solutions.

Experience with GenAI/LLM frameworks and technics, like guardrails, Langchain, etc.

Strong experience with GenAI components, like vector databases (e.g. Cosmos DB, FAISS etc)





Practical experience of developing and deploying GenAI/LLMs/SLMs-based solutions.

Opportunity to work on bleeding-edge projects

Market-competitive salary

Flexible schedule

Benefits package - medical insurance, sports

Corporate social events

Professional development opportunities

Well-equipped office

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.

📌 Senior Python Engineer, DevOps (Bengaluru)
🏢 Grid Dynamics
📍 Bengaluru