Design and develop AI/LLM-powered applications and agentic workflows.Build RAG and GraphRAG solutions using knowledge graphs, vector search, and embeddings.Develop multi-stage AI agent workflows with reliable state management and traceability.Build MCP tool servers and A2A interfaces.Implement prompt engineering, structured outputs, and tool/function calling.Develop AI evaluation frameworks, guardrails, and anti-hallucination controls.Build and maintain CI/CD pipelines and production AI infrastructure.Implement monitoring, logging, tracing, and observability.Collaborate with engineering and business teams to deliver enterprise AI solutions.Required Skills6-10 years of software engineering experience with hands-on production AI/LLM experience.Experience with GenAI, LLMs, RAG, and Agentic AI.Experience with prompt engineering, structured/JSON outputs, and tool/function calling.Experience with knowledge graphs, vector search, and embeddings.Experience with Neo4j/Cypher and/or MongoDB Atlas.Knowledge of MCP, A2A, or AI agent interfaces.Experience with cloud infrastructure, CI/CD, monitoring, and observability.Solid Git, code review, and automated testing practices. #J-18808-Ljbffr

📌 Senior Ai Engineer (Toronto)
🏢 Pacer Staffing
📍 Toronto