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Arena Intelligence

Applied AI Engineer

Bay Area (Remote)$150k–$250kfulltimemidAdded yesterday

About this role

Arena Intelligence is seeking an Applied AI Engineer to serve as a technical partner to leading AI labs, managing customer relationships while building solutions that integrate and evaluate frontier models. You'll balance customer success ownership with hands-on engineering to solve high-impact problems across their platform.

What you'll do

  • Manage 5–15 active relationships with AI research labs as primary technical contact
  • Integrate customer models, run evaluations, and deliver results in partnership with researchers
  • Own and execute key process improvements such as model onboarding flows or customer tooling
  • Translate customer feedback and research directions into product and engineering initiatives
  • Build pragmatic full-stack solutions that extend platform capabilities for customers
  • Drive delivery consistency across onboarding, releases, co-launches, and issue resolution

What they're looking for

  • TypeScript and modern web frameworks
  • LLM API integration and streaming responses
  • Full-stack development (frontend and backend)
  • Cloud infrastructure and CI/CD workflows
  • System design and software engineering fundamentals
  • Problem-solving in ambiguous environments
  • Technical communication with engineers and non-technical stakeholders
  • Customer-first product thinking

Benefits

  • Competitive base salary and equity compensation
  • Comprehensive health, dental, and vision coverage
  • Opportunity to work on cutting-edge AI research with leading labs
  • Mission-driven, small team culture emphasizing transparency and trust
  • Cross-functional role spanning customer success and engineering
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Arena Intelligence

Arena Intelligence builds a platform for evaluating AI model performance through real-world testing and human preference data, powering insights for AI labs and enterprises. The company is hiring data engineers, security engineers, machine learning scientists, and customer-facing technical roles to scale its evaluation infrastructure, protect against misuse, and deliver custom solutions to customers.

View all jobs at Arena Intelligence

Likely interview questions

  • Describe your experience integrating LLM provider APIs in production—how have you handled challenges like streaming responses or rate limiting?
  • Tell us about a time you owned a complex customer relationship while shipping technical solutions. How did you balance both priorities?