Engineer RAG pipelines and MCP integrations at Code17, connecting AI applications with enterprise tools, APIs, and data sources. Use Java, Spring Boot, and modern 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 pipelines Implement MCP servers and clients for enterprise connectivity Develop AI workflows with tool calling and structured outputs Evaluate retrieval accuracy, latency, cost, and response quality Write tests, review code, and support production releases Requirements:
Practical RAG experience with vector databases and metadata filtering Experience implementing or integrating MCP servers or clients Knowledge of prompt design and model context management Relational database experience with SQL and performance tuning Understanding of authentication, authorization, and data access controls Apply RAG, MCP, LLM, and full-stack engineering experience to secure enterprise AI solutions at Code17.
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RAG MCP Full Stack Developer in Toronto employer: Code17tek
At Code17, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our team enjoys comprehensive benefits, including professional development opportunities and a focus on employee growth, all while working in a vibrant tech hub that encourages creativity and cutting-edge solutions. Join us to be part of a forward-thinking company where your contributions directly impact the future of AI-powered applications.
