Rescale Logo

Rescale

Applications Engineers, Agentic Workflows

Reposted 14 Days Ago
Remote
Hiring Remotely in United States
156K-180K Annually
Mid level
Remote
Hiring Remotely in United States
156K-180K Annually
Mid level
The Application Engineer will develop agent-based automation for engineering workflows, integrate agents into systems, and work closely with customers to enhance product capabilities.
The summary above was generated by AI
About Rescale

Rescale is pioneering the future of engineering and scientific discovery. As the leader in digital engineering, we’re transforming how products are developed—through intelligent automation, applied AI, data management, and the integration of the world’s largest network of engineering and R&D applications. Joining Rescale means becoming part of a diverse, collaborative, and mission-driven team that’s unlocking faster innovation across industries like aerospace, energy, life sciences, and manufacturing. We’re solving complex challenges that traditional HPC can’t—and we’re seeking passionate, curious minds to help build the next wave of breakthroughs

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.

Rescale is an equal opportunities employer and welcomes applications from all qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age. As part of our standard hiring process for new employees, employment with Rescale will be contingent upon successful completion of a comprehensive background check. Here at Rescale, we are committed to being transparent in our policies around candidate privacy. For more details on the information Rescale collects in your application, please view the Rescale Applicant Privacy Policy here.

HQ

Rescale San Francisco, California, USA Office

981 Mission St #21, San Francisco, CA, United States, 94103

Similar Jobs

5 Hours Ago
Remote or Hybrid
Maryland, USA
70K-161K Annually
Senior level
70K-161K Annually
Senior level
Digital Media • Information Technology • News + Entertainment
Responsible for managing sales to enterprise customers, ensuring team training and development, monitoring performance, and achieving sales targets. Leads promotions and coordinates with internal teams.
Top Skills: Communication SkillsLeadershipPerformance MonitoringSales ManagementTeam Training
7 Hours Ago
Remote or Hybrid
United States
61K-92K Annually
Junior
61K-92K Annually
Junior
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Execute end-to-end digital advertising across Search, Display, Social, and Video for a 50+ account portfolio. Monitor KPIs, perform keyword research, create ads, troubleshoot and optimize campaigns, produce monthly reports, consult with clients to retain and grow budgets, and maintain required platform certifications. Handle client communications, track actions for audit, and perform limited travel (5%).
Top Skills: CSSFtpGoogle AdsGoogle AnalyticsHTMLHTTPMicrosoft AdvertisingSalesforceSeo
7 Hours Ago
Remote
United States
120K-200K Annually
Entry level
120K-200K Annually
Entry level
Software • Defense
As an Outcome Engineer, you will architect multi-agent systems, implement automated governance, and build evaluation frameworks to enhance AI-powered workflows.
Top Skills: AWSKubernetesLarge Language ModelsNode.jsPostgresRedisTypescriptVector Databases

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account