Job Responsibilities: · Ensure adherence to governance and Dev

SecOps protocols. · 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 (Lang

Chain, Llama

Index, Amazon Bedrock) · Web application development using Next.js, React, Type

Script/Java

Script · 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 (Num

Py, Pandas, Matplotlib, Boto3) · Automated testing frameworks (Ragas, Playwright, Zephyr, Selenium) · Familiarity with SDLC best practices, Dev

SecOps, Agile Scrum/Kanban, and work management tools (JIRA, Confluence, JIRA Align). · Knowledge of LLM fine-tuning techniques · Experience in BI tools like Quick

Sight, Tableau · Knowledge of financial markets and enterprise data systems Education: Bachelor’s or Master’s degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.

📌 AI Platform Engineer (Toronto)
🏢 Highbrow
📍 Toronto