About the role
Job Title: Sr. AI Developer Location: Toronto, ON Work Arrangement: Onsite (hybrid) Employment Type: Contract Duration: 12 Months Domain: BFSI Pay Rate: CAD 90-100/hour Incorporated Application Deadline: July 10th, 2026
SKILLS REQUIRED Mandatory Skills: Design, architect, and develop scalable Generative AI solutions using LLMs, Agentic AI, MCP, Graph/RAG architectures, and prompt engineering techniques. Build and deploy cloud-native AI applications using Python, React, Next.js, and AWS services including EKS, Lambda, Fargate, Glue, and Athena. Develop AI solutions using frameworks such as LangChain, LlamaIndex, and Amazon Bedrock, integrating models like GPT, Claude, Gemini, and LLaMA. Implement Infrastructure as Code (Terraform, Docker), ETL pipelines using Apache Airflow, and follow DevSecOps and Agile best practices. Work with Vector and Graph Databases including Weaviate, Milvus, PGVector, Neo4j, and Neptune to build intelligent retrieval systems. Collaborate with product managers, data scientists, and engineering teams to deliver end-to-end AI products aligned with business objectives. Optimize AI application performance, monitor production metrics, and drive continuous improvement through automation, testing, and governance. Leverage LLM fine-tuning, QuickSight/Tableau, and enterprise data systems, with experience in financial markets considered a strong advantage.
EEOC Compliance: We are an equal opportunity employer, and all qualified applicants will receive consideration for employment.
DISCLAIMER AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.
Similar Jobs
About the role
Job Title: Sr. AI Developer Location: Toronto, ON Work Arrangement: Onsite (hybrid) Employment Type: Contract Duration: 12 Months Domain: BFSI Pay Rate: CAD 90-100/hour Incorporated Application Deadline: July 10th, 2026
SKILLS REQUIRED Mandatory Skills: Design, architect, and develop scalable Generative AI solutions using LLMs, Agentic AI, MCP, Graph/RAG architectures, and prompt engineering techniques. Build and deploy cloud-native AI applications using Python, React, Next.js, and AWS services including EKS, Lambda, Fargate, Glue, and Athena. Develop AI solutions using frameworks such as LangChain, LlamaIndex, and Amazon Bedrock, integrating models like GPT, Claude, Gemini, and LLaMA. Implement Infrastructure as Code (Terraform, Docker), ETL pipelines using Apache Airflow, and follow DevSecOps and Agile best practices. Work with Vector and Graph Databases including Weaviate, Milvus, PGVector, Neo4j, and Neptune to build intelligent retrieval systems. Collaborate with product managers, data scientists, and engineering teams to deliver end-to-end AI products aligned with business objectives. Optimize AI application performance, monitor production metrics, and drive continuous improvement through automation, testing, and governance. Leverage LLM fine-tuning, QuickSight/Tableau, and enterprise data systems, with experience in financial markets considered a strong advantage.
EEOC Compliance: We are an equal opportunity employer, and all qualified applicants will receive consideration for employment.
DISCLAIMER AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.