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.
Robust Git, code review, and automated testing practices.

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