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 Skills

6-10 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.

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📌 Senior AI Engineer (Winnipeg)
🏢 Pacer Staffing
📍 Winnipeg