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Senior Backend Engineer- Product

You will work on building generative AI inference infra at an unprecedented scale. You’ll be responsible for Luma’s REST APIs, and backend systems. The ideal candidate is product-minded, has strong coding skills and experience building and deploying software at scale. You should enjoy working with a fast-paced team to build amazing products, while maintaining high engineering standards.


Responsibilities
  • Design and build the development and production platforms that power our new products, enabling reliability and security at scale
  • Own the development of new user-facing generative AI features and product experiences end-to-end.
  • Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world.
  • Accelerate engineering productivity by empowering your fellow engineers with excellent tooling and systems.
  • Like all other teams, we are responsible for the reliability of the systems we build. This includes an on-call rotation to respond to critical incidents as needed.


Experience
  • 5+ years of engineering experience in various tech environments, including product-driven companies.
  • Strong python skills and deep understanding of end to end backend systems, databases, authorization.
  • Experience with JavaScript and React for front-end development, and proficiency in Python or any backend language, demonstrating adaptability and a willingness to learn across the stack.
  • Has prior experience working in startup environments, either as a founder or an early-stage engineer.
  • Has prior work experience working with user facing API’s.
  • Please note this role is not meant for recent grads.


$180,000 - $250,000 a year
The pay range for this position in California is $180,000 - $250,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. We also offer competitive equity packages in the form of stock options and a comprehensive benefits plan. 

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Average salary estimate

$215000 / YEARLY (est.)
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max
$180000K
$250000K

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Full-time, on-site
DATE POSTED
August 25, 2024

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