Engineer RAG pipelines and MCP integrations at Code17, connecting AI applications with enterprise tools, APIs, and data sources. Use Java, Spring Boot, and contemporary frontend frameworks across complete applications.This senior engineering role focuses on taking AI capabilities into secure, reliable production applications. You will build retrieval workflows, integrate large language models, and develop full-stack features using React or Angular. Code17 helps enterprises implement modern applications and AI solutions that improve business operations.Key Responsibilities: Build ingestion, chunking, embedding, and retrieval pipelinesImplement MCP servers and clients for enterprise connectivityDevelop AI workflows with tool calling and structured outputsEvaluate retrieval accuracy, latency,



cost, and response qualityWrite tests, review code, and support production releasesRequirements: Practical RAG experience with vector databases and metadata filteringExperience implementing or integrating MCP servers or clientsKnowledge of prompt design and model context managementRelational database experience with SQL and performance tuningUnderstanding of authentication, authorization, and data access controlsApply RAG, MCP, LLM, and full-stack engineering experience to secure enterprise AI solutions at Code17.#J-18808-Ljbffr

📌 Rag Mcp Full Stack Developer (Toronto)
🏢 Code17Tek
📍 Toronto