02 Nov
|
apptoza
|
Toronto
Experience: 8+ yearsRole SummaryLead 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 Skills10+ 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.#J-18808-Ljbffr
📌 Gen Ai Engineer (Toronto)
🏢 apptoza
📍 Toronto