Senior AI Engineer contract role in Toronto, ON (hybrid). Requires 6+ years experience with Gen AI, agentic AI, and AWS.
Responsibilities
Senior AI Engineer Toronto, ON (Hybrid- 4 days a week in the office) Contract Email: [email protected] Note:- looking for candidates those who are presently in Canada
Requirements
6+ years of progressive experience in engineering roles, including at least 1-2 years leading emerging tech or AI initiatives. Gen AI models (GPT, Claude, Gemini, LLaMA) and prompt engineering techniques Agentic AI, MCP, and Graph/RAG architectures Gen AI Framework (LangChain, LlamaIndex, Amazon Bedrock) Web application development using Next.js, React, TypeScript/JavaScript AWS cloud services (EC2, ELB/GLB/NLB, EKS, Fargate, Lambda, Athena, Glue, Lake Formation) Infrastructure as Code (Puppet, Terraform, Docker) and containerized deployments ETL orchestration using Apache Airflow/DAGs Vector/Graph databases (Weaviate, Milvus, PGVector, Neo4J, Neptune) and query optimization Python programming (NumPy, Pandas, Matplotlib, Boto3) Automated testing frameworks (Ragas, Playwright, Zephyr, Selenium,) Familiarity with SDLC best practices, DevSecOps, Agile Scrum/Kanban, and work management tools (JIRA, Confluence, JIRA Align). Knowledge of LLM fine tuning techniques Experience in BI tools like QuickSight, Tableau Knowledge of financial markets and enterprise data systems
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