Applications Engineers, Agentic Workflows

Rescale•,

2d•$156,000 - $180,000

About The Position

Rescale is seeking a highly motivated Application Engineer, Agentic Workflows to help build and deliver the next generation of AI Physics capabilities. The role works directly with platform and AI teams to design and ship agent-based capabilities that operate on real engineering tools and data, and with customers to apply those agents to real workflows. It is customer-facing but product-first: work in customer environments should translate into reusable product capabilities rather than one-off solutions. The role suits engineers who enjoy building real systems, integrating complex engineering software, and turning early agent prototypes into durable platform capabilities. The position involves direct customer engagement during agent deployments and early workflow rollouts, with occasional travel to customer sites for technical working sessions or critical milestones. Travel is execution-focused and tied to building and deploying capabilities. Employment is contingent upon successful completion of a comprehensive background check. Rescale is an equal opportunities employer and welcomes applications from all qualified persons regardless of race, sex, disability, religion or belief, sexual orientation, or age.

Requirements

Strong software engineering fundamentals, with heavy emphasis on Python.
Hands-on experience building automation around engineering or technical software.
Familiarity with CAE workflows, simulation data, and solver-driven processes.
Experience building or deploying agent-based or LLM-driven systems.
Experience orchestrating tools, scripts, or workflows across multiple systems.
Ability to design deterministic, reliable automation around complex tools.
Experience turning internal automation into reusable, product-grade components.
Comfort debugging across tool execution, data handling, and orchestration layers.

Responsibilities

Build and ship agent-driven automation across engineering and CAE workflows.
Design and implement agents that interact with engineering tools, simulation data, and workflows.
Encode engineering workflows as structured, agent-executable steps with clear inputs, outputs, and guardrails.
Integrate agents into end-to-end pipelines as reusable capabilities rather than one-off scripts.
Harden early agent use cases into deterministic, production-ready systems.
Debug and resolve issues across agent logic, tool execution, data handling, and orchestration.
Work directly with customer engineers to understand real workflows and technical constraints.
Close gaps between real workflows and platform capabilities, feeding concrete learnings back into product direction.
Build first, with the ability to be forward-deployed on critical engagements when needed.
Engage directly with customers during agent deployments and early workflow rollouts, including occasional travel for technical working sessions or critical milestones.