31 Oct
|
apptoza
|
Toronto
Experience: 8+ years
Role Summary Lead the development and delivery of enterprise Gen AI 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, Dev Sec Ops, governance, and production reliability.
Required Skills 10+ years of engineering experience, including 1-2 years leading AI initiatives.
Gen AI/LLMs: GPT, Claude, Gemini, LLa MA, prompt engineering, fine-tuning.
AI Frameworks: Lang Chain, Llama Index, Amazon Bedrock, Agentic AI, MCP, Graph RAG.
Databases & Orchestration: Weaviate, Milvus, PGVector, Neo4j, Neptune, Apache Airflow.
AWS & Dev Ops: EKS, Fargate, Lambda, EC2, ELB/NLB, Glue, Athena, Lake Formation, Terraform, Docker, Puppet.
Solid SDLC, Dev Sec Ops, Agile, system design, and production support experience.
📌 Gen Ai Engineer (Toronto)
🏢 apptoza
📍 Toronto