Applications Engineers, Agentic Workflows

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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
Operate as a builder first, with the ability to be forward-deployed on critical engagements when needed

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
Comfortable debugging across tool execution, data handling, and orchestration layers

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