Polyglot Developer

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🕒 April 25

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PeerIslands

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

PeerIslands is a technology company that specializes in transforming enterprise architecture with innovative strategies and advanced technology solutions. They excel in AI-enabled rapid application modernization and data engineering services, aiming to drive innovation and efficiency for their clients. With products like Migration Copilot, Developer Copilot, and Intelligent App Copilot, PeerIslands offers tailored solutions to rapidly modernize software applications and infrastructure. Their approach focuses on leveraging AI to ensure swift transformation and enhance user experiences while upholding strict security and compliance standards. Additionally, PeerIslands collaborates with partners in various industries including healthcare and financial services to provide modernization and data solutions.

📋 Description

• 5 to 10 years of strong experience in Python development • Hands-on experience with RAG (Retrieval Augmented Generation) architectures • Experience working with Vector Databases (embeddings, similarity search, indexing) • Good understanding of MCP (Model Context Protocol) or similar agent integration patterns • Experience in Document Parsing & Extraction (PDF, structured/unstructured data) • Building Document Ingestion Pipelines (loading → parsing → chunking → embedding → storage) • Experience with Streaming APIs and SSE (Server-Sent Events) for real-time responses • Implementation of Document Citation / Source Attribution in LLM responses • Familiarity with LLM integrations (OpenAI / Bedrock / similar) • Experience handling metadata, indexing, and retrieval optimization

🎯 Requirements

• 5 to 10 years of strong experience in Python development • Hands-on experience with RAG (Retrieval Augmented Generation) architectures • Experience working with Vector Databases (embeddings, similarity search, indexing) • Good understanding of MCP (Model Context Protocol) or similar agent integration patterns • Experience in Document Parsing & Extraction (PDF, structured/unstructured data) • Building Document Ingestion Pipelines (loading → parsing → chunking → embedding → storage) • Experience with Streaming APIs and SSE (Server-Sent Events) for real-time responses • Implementation of Document Citation / Source Attribution in LLM responses • Familiarity with LLM integrations (OpenAI / Bedrock / similar) • Experience handling metadata, indexing, and retrieval optimization • Good to Have: Experience with LangChain / LangGraph or similar frameworks • Experience with chat/agent-based UI integrations • Preferred Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related