Applied Ai Engineer At Derivative Path
Urban Ridge Supplies
Innovate with Derivative Path as an Applied AI Engineer in Canada. Develop AI-driven features and enhance financial workflows in a collaborative, hybrid setting.
As part of the AI Lab team within DerivativeEDGE, you will report to the AI Lab lead and collaborate with Engineering, Product, and domain experts. This hands-on role focuses on building LLM-powered solutions and agentic workflows for complex financial environments. You'll need to thrive amid ambiguity while ensuring robust AI capabilities that clients depend on every day.
Key Responsibilities: - Build and deliver LLM-powered features for DerivativeEDGE - Design agentic workflows for multi-step financial processes - Manage data engineering aspects, including pipelines and quality - Transition smoothly from experimentation to production - Shape the AI Lab's technical direction and tooling practices
Requirements: - Expertise in LLMs: prompt engineering, fine-tuning, agents - Experience in data engineering and real workflow pipelines - Proficiency in Python and AI/ML frameworks - Familiarity with MLOps for deploying AI models - Cloud platform experience with Azure, AWS, or GCP
Harness your skills in AI engineering and data to revolutionize financial products at Derivative Path.#J-18808-Ljbffr
As part of the AI Lab team within DerivativeEDGE, you will report to the AI Lab lead and collaborate with Engineering, Product, and domain experts. This hands-on role focuses on building LLM-powered solutions and agentic workflows for complex financial environments. You'll need to thrive amid ambiguity while ensuring robust AI capabilities that clients depend on every day.
Key Responsibilities: - Build and deliver LLM-powered features for DerivativeEDGE - Design agentic workflows for multi-step financial processes - Manage data engineering aspects, including pipelines and quality - Transition smoothly from experimentation to production - Shape the AI Lab's technical direction and tooling practices
Requirements: - Expertise in LLMs: prompt engineering, fine-tuning, agents - Experience in data engineering and real workflow pipelines - Proficiency in Python and AI/ML frameworks - Familiarity with MLOps for deploying AI models - Cloud platform experience with Azure, AWS, or GCP
Harness your skills in AI engineering and data to revolutionize financial products at Derivative Path.#J-18808-Ljbffr
Vacancy posted 2 hours ago
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