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OpenRouter

Forward Deployed Engineer

Remote (US) (Remote)$220k–$260kfulltimemidAdded 1 month ago

About this role

OpenRouter is seeking a Forward Deployed Engineer to support customers in implementing and scaling their AI solutions using the company's platform. This role bridges customer success and technical engineering, emphasizing hands-on assistance in integration, optimization, and fostering strong developer relationships.

What you'll do

  • Lead technical onboarding for new customers
  • Collaborate on success plans with customer success teams
  • Assist in integrating OpenRouter into customer applications
  • Troubleshoot API and deployment issues
  • Create guides and examples for customer implementations
  • Evaluate models based on customer requirements

What they're looking for

  • 4+ years in a technical customer-facing role
  • Strong software engineering fundamentals
  • Experience with APIs and SDKs
  • Knowledge of AI/ML infrastructures
  • Familiarity with LLMs and inference
  • Proficient in debugging production code
  • Ability to translate technical concepts for stakeholders
  • Experience in customer engagement and support

Benefits

  • Remote work flexibility
  • Opportunity for hands-on problem solving
  • Engagement with diverse customer use cases
  • Role in shaping post-sales customer experience
  • Collaboration across multiple teams
  • [Unknown]
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OpenRouter

OpenRouter builds a platform that routes and manages high-volume requests across language models and AI inference services. The company is hiring software engineers for platform infrastructure and product development, as well as forward-deployed engineers to support customer implementation and scaling.

View all jobs at OpenRouter

Likely interview questions

  • Walk us through a time you helped a customer integrate a complex API or SDK into production. What was the technical challenge, and how did you approach debugging and resolution?
  • Describe your experience advising customers on infrastructure or architectural decisions. How do you balance technical best practices with business constraints like cost and timeline?