Experience: 8+ years Role Summary

Lead the development and delivery of enterprise GenAI products, pilots, and scalable AI solutions. Architect LLM pipelines, Agentic AI workflows, MCP, Graph RAG, and prompt-based applications. Build cloud-native AI solutions using AWS and optimize production performance. Collaborate with product, data science, and business teams to deliver AI solutions. Drive technical strategy, Agile delivery, DevSecOps, governance, and production reliability. Required Skills

10+ years of engineering experience, including 1-2 years leading AI initiatives. GenAI/LLMs: GPT, Claude, Gemini, LLaMA, prompt engineering, fine-tuning. AI Frameworks: LangChain, LlamaIndex, Amazon Bedrock, Agentic AI, MCP, Graph RAG. Databases & Orchestration: Weaviate, Milvus, PGVector, Neo4j, Neptune, Apache Airflow. AWS & DevOps: EKS, Fargate, Lambda, EC2, ELB/NLB, Glue, Athena, Lake Formation, Terraform, Docker, Puppet. Solid SDLC, DevSecOps, Agile, system design, and production support experience.

📌 Gen AI Engineer (Toronto)
🏢 apptoza
📍 Toronto