Rescale

Applications Engineers, Agentic Workflows

Rescale$90K — $130K *
US-AnywhereRemote in United States
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of software engineering experience, preferably with Python
  • Hands-on experience creating automation for engineering or technical software
  • Familiarity with CAE workflows and simulation processes
  • Experience with agent-based systems or LLMs
  • Proficient in orchestrating workflows across multiple systems
  • Ability to design robust automation around complex engineering tools
  • Experience in developing internal automations into reusable components

Responsibilities

  • Build and ship automation for engineering workflows using agent-driven solutions
  • Design agents for interacting with engineering tools and simulation data
  • Encode workflows into clear, executable agent steps
  • Integrate agents into scalable, end-to-end automation pipelines
  • Refine early prototypes into production-ready systems
  • Debug issues across various levels of tool execution and data handling
  • Engage with customers to align on real-world workflows and limitations
  • Close gaps between customer requirements and product capabilities

Benefits

  • Direct engagement with customers and impactful project work
  • Opportunity for travel focused on critical technical engagements
  • Work within a product-first context that values reliable solutions
  • Chance to significantly influence AI-driven capabilities in engineering
  • Engagement in innovative projects that blend technology and engineering
Full Job Description
We are seeking a highly motivated Application Engineer, Agentic Workflows to help build and deliver the next generation of AI Physics capabilities at Rescale!

You will work directly with platform and AI teams to design and ship agent-based capabilities that operate on real engineering tools and data. You will also work closely with customers to apply these agents to real workflows, ensuring what gets built is reliable, repeatable, and productizable.

The role is customer-facing, but product-first. Work done in customer environments must translate into reusable product capabilities rather than one-off solutions.

This role is ideal for engineers who enjoy building real systems, integrating with complex engineering software, and turning early agent prototypes into durable platform capabilities.

What You'll Do
  • 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
Core Skill Set
  • 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
Customer Engagement & Travel

This role includes direct customer engagement during agent deployments and early workflow rollouts. Expect occasional travel to customer sites for deep technical working sessions or critical milestones. Travel is execution-focused and tied to building and deploying real capabilities.

Why This Role Matters

AI Agent Applications Engineers ensure that agent-based automation is not just experimental, but reliable, usable, and embedded into real engineering workflows.

Your work will directly influence how engineering organizations adopt agent-driven automation, and will shape the core capabilities that become part of the platform.

About Rescale

Rescale is a cloud computing company that enables engineers and scientists to run simulations and other compute-intensive workloads on a scalable, pay-per-use basis. The company's platform allows users to access a variety of high-performance computing resources, including CPUs, GPUs, and FPGAs, as well as a range of software applications and tools. Rescale's customers include companies in a variety of industries, including aerospace, automotive, energy, and life sciences. The company was founded in 2011 and is headquartered in San Francisco, California.
Learn more about Rescale
Size
200 employees
Industry
Founded
2011

Similar Jobs

More Jobs at Rescale

More Enterprise Technology Jobs

Find similar Applications Engineers, Agentic Workflows jobs: