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 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 (Ontario)
🏢 Code17Tek
📍 Ontario