Rate: 70-75/hr About the Role We are looking for an AI Agent Engineer with hands-on experience in building and extending intelligent agents using modern frameworks. This role involves designing agent-based systems, integrating coding agents into workflows, and ensuring observability and reliability for LLM-powered products. Key Responsibilities Develop and maintain AI agents leveraging Claude Code/Claude Agent SDK and other agent toolkits. Architect and implement agent workflows for coding automation with feedback loops . Collaborate with data engineering and product teams to integrate age...

Job Description: As a Backend Engineer, you will be responsible for designing, building, and scaling end-to-end ML/Agentic services. You’ll work in a cloud-native environment (GCP preferred) and contribute to the development of agentic workflows and applications. The project involves building chatbots for agentic commerce, with multiple deployment use cases expected throughout the year. What You’ll Need to Succeed · 2 to 5+ yrs strong backend engineering experience in ML/Agentic software development · Proven track record of productionizing end-to-end ML/Agentic services · Expertise in Python...

Our client, a well-known brand, has an immediate opening for a Machine Learning Software Engineer to join to join their team in Toronto on a 12 months contract with the possibility of further extension. Team’s mission is to empower data scientists to deploy robust, scalable, and efficient ML services with a seamless development experience and, in this role, you will design, architect, build, and maintain scalable, high-performance cloud infrastructure that powers ML models, pipelines, and data processing. You will collaborate closely with Data Scientists and ML Engineers to ensure that platf...

Job Description: Deep expertise in GenAI and agentic AI frameworks to drive enterprise automation. Hands-on experience with SAP Joule and Microsoft Copilot for AI-enabled workflows. Proficiency in ML Ops including model deployment, monitoring, and lifecycle management. Strong knowledge of cloud infrastructure, Infrastructure as Code, and DevOps practices. Experience with operational technology (OT) and IoT data for predictive analytics. Familiarity with enterprise data platforms and modern data architecture. Strong understanding of data security, privacy regulations, and compliance frame...

Job Description: Deep expertise in GenAI and agentic AI frameworks to drive enterprise automation. Hands-on experience with SAP Joule and Microsoft Copilot for AI-enabled workflows. Proficiency in ML Ops including model deployment, monitoring, and lifecycle management. Strong knowledge of cloud infrastructure, Infrastructure as Code, and DevOps practices. Experience with operational technology (OT) and IoT data for predictive analytics. Familiarity with enterprise data platforms and modern data architecture. Strong understanding of data security, privacy regulations, and compliance frame...