India onlyThe Intelligence Solution Engineer – Quality plays a critical role in developing and deploying intelligent, multimodal, and agentic AI solutions that automate document understanding, contextual reasoning, and human-in-loop validation through interactive applications.
Key Responsibilities
- Integrate AI-driven pipelines with existing enterprise data ecosystems such as data warehouses, data lakes, and graph databases.
- Implement solutions leveraging frameworks like LangChain, LangGraph, and Databricks for scalable AI deployment.
- Design and maintain vector embedding databases, RAG (Retrieval Augmented Generation), and semantic retrieval systems for high-quality contextual understanding.
- Apply graph-based reasoning using Neo4j to enable contextual intelligence and knowledge discovery.
- Develop and optimize AI-driven applications using Python and Streamlit, ensuring seamless user interaction and robust functionality.
- Design and implement AI workflows leveraging Databricks ML and MLOps.
- Collaborate with stakeholders to build AI solutions, reducing redundancy and promoting standardization.
United States
