Role Type: Senior AI Engineering
Location: Toronto, ON
Experience: 6–10+ years
We are seeking a Senior AI Engineer to join our technology strategy team and build production-grade AI/GenAI solutions that improve customer experiences, automation, and business processes.
Key Responsibilities:
- Design and develop agentic AI/LLM workflows using RAG, tool/function calling, prompt engineering, and structured outputs.
- Build and maintain Knowledge Graphs using Neo4j/Cypher and/or MongoDB Atlas.
- Implement GraphRAG, vector search, embeddings, and grounded AI solutions.
- Develop MCP tool servers and A2A interfaces, including integration with Microsoft Copilot Studio.
- Establish AI evaluation, grounding, guardrails, and anti-hallucination frameworks.
- Deploy and operate AI solutions using CI/CD, cloud infrastructure, observability, logging, monitoring, and tracing.
- Collaborate with engineering and business teams to deliver secure, explainable, and production-ready AI systems.
Required Skills:
- 6–10 years of production software engineering experience with recent hands-on AI/LLM production delivery.
- Strong Java/JVM experience; Kotlin or Scala is an asset.
- Strong software engineering practices: Git, code reviews, automated testing, clean design, structured logging.
- Hands-on experience with RAG, Agentic AI, prompt engineering, structured/JSON outputs, and tool calling.
- Experience with Neo4j/Cypher, MongoDB Atlas, vector databases/search, and embeddings.
- Knowledge of Knowledge Graphs, MCP, A2A, AI document generation, cloud AI services, CI/CD, and observability.
- Experience building enterprise-scale AI systems in production.
