Senior Lead AI Application Engineer at RBC leading full - stack delivery of secure, cloud - native microservices embedding pragmatic AI. Designing and building agentic applications with multi - agent systems and DevSecOps practices.
About the role
- Application Engineer building AI Physics capabilities for engineering and scientific discovery at Rescale. Collaborating with customers and engineering teams to ship product features.
Responsibilities
- Build and ship AI Physics capabilities alongside the Rescale AI/ML team
- Turn real customer simulation data into AI-ready pipelines using the core AI Physics product
- Execute and harden early AI Physics POCs so they are repeatable, reusable, and production-ready
- Debug and resolve issues across data preprocessing, models, inference, and workflow orchestration
- Work directly with customer engineers to understand their workflows and technical constraints
- Close gaps between customer workflows and product capabilities, feeding concrete learnings back into the product roadmap
- Act as a builder first, with the ability to be forward-deployed on critical customer engagements when needed
Requirements
- Strong software engineering fundamentals, with heavy emphasis on Python
- Hands-on experience with ML or data-driven systems in production contexts
- Familiarity with simulation workflows and engineering data
- Experience building and modifying data pipelines and ML workflows
- Ability to debug complex issues across data, models, and workflow orchestration
- Comfortable working directly with customer engineers on technical problems
Benefits
- Offers Equity
- Offers Commission
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