
Polyglot Developer
Posted Jun 22

Posted Jun 22
This is a fully remote position, open to applicants in United States.
• Collaborate with teams to create robust applications using Python.
• Design and enhance RAG architectures to handle various data types.
• Participate in workflows for document processing and ingestion.
• Facilitate real-time interactions through Streaming APIs.
• Deliver insights by optimizing metadata handling and retrieval processes.
• Contribute to LLM integrations to enhance document response capabilities.
• 5 to 10 years of extensive experience in Python development.
• Practical experience with RAG (Retrieval Augmented Generation) architectures.
• Proficiency in working with Vector Databases (embeddings, similarity search, indexing).
• Solid understanding of MCP (Model Context Protocol) or comparable agent integration patterns.
• Experience in Document Parsing & Extraction (PDF, structured/unstructured data).
• Skilled in building Document Ingestion Pipelines (loading → parsing → chunking → embedding → storage).
• Familiarity with Streaming APIs and SSE (Server-Sent Events) for real-time responses.
• Implementation experience of Document Citation / Source Attribution in LLM responses.
• Knowledge of LLM integrations (OpenAI / Bedrock / similar).
• Experience in managing metadata, indexing, and retrieval optimization.
• Familiarity with LangChain / LangGraph or similar frameworks (Good to Have).
• Experience with chat/agent-based UI integrations (Good to Have).
• Opportunity to work with cutting-edge technologies.
• Join a collaborative and innovative team environment.
• Competitive salary and comprehensive benefits package.
• Professional development and growth opportunities.
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