Role: Gen AI Developer
Job Type: Fulltime with Quantum Integrators
Location : Pune/Nagpur- Onsite
Shift Timing: UK Time
Notice period: Immediate joiner
Roles & Responsibilities
Maintain and enhance the existing RAG-based Gen AI solution for entity-based query and response.
Implement and optimize data ingestion, summarization, embedding, and retrieval workflows in Databricks.
Develop and fine-tune RAG pipelines integrating OpenAI GPT API with embedding models (Ada).
Configure, maintain, and optimize the Qdrant Vector Database for efficient entity search.
Manage integration between UI layer (Streamlit chatbot), backend APIs, and Azure Data Lake.
Create, monitor, and optimize Databricks jobs for data preparation and quality checks.
Ensure smooth CI/CD deployment of models and applications using Bitbucket/Jenkins.
Collaborate with Data Ops and Business teams for continuous data quality improvements.
Troubleshoot and resolve production issues quickly, ensuring minimal downtime.
Document processes and provide technical knowledge transfer to other team members.
Required Technical Skills
Programming: Strong Python expertise.
Gen AI & RAG
Hands-on experience building Retrieval-Augmented Generation pipelines
OpenAI GPT API & Embedding models (Ada or similar)
Prompt engineering and optimization techniques
Data Engineering: Databricks, Azure Data Lake, PySpark, Pandas, NumPy.
Vector Databases: Qdrant
Web/UI Development: Streamlit or equivalent Python-based UI frameworks.
Deployment & CI/CD: Docker, Bitbucket, Jenkins.
API Development & Integration: REST API design and integration.
Cloud & MLOps: Azure environment, model lifecycle management, performance tuning.
Experience with multimodal RAG (text + image retrieval).
Familiarity with model explainability tools.
Knowledge of image processing libraries (OpenCV, PIL) if future scope includes images.
Interested candidate can share updated resume @Ja*************m@qu***************s.com

Keyskills: Generative Ai Openai Data Integration
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