Founding Backend Engineer
US$150,000 – US$250,000 / yr base salary
Posted 14 Apr 2025
Advertised as “Founding Engineer, Backend”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- Individual contributor
- Employment
- On-Site
- Contract
- Full-time
| Base salary | US$150,000 – US$250,000 / yr |
|---|
Field of studyComputer Science, Engineering (or related)
Study levelBachelor's
At Falconer, we’re transforming how engineers create, access, and share knowledge with each other and their AI agents. We’re looking for a Founding Backend Engineer to help us build an AI-powered knowledge platform that companies love.
As a founding engineer, you'll have a major impact on our product development, technical direction, and culture.
Key responsibilities:
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Participate in the entire product development lifecycle, including architecture, coding, testing, and deploying
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Research and apply best practices in terms of infra, deployment, and containerization of our products and ML stack
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Develop and maintain backend systems including API services, databases, and server-side logic
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Optimize applications for maximum speed and scalability
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Write clean, efficient, and well-documented code, following industry best practices—the Falconer platform will help you!
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Stay updated with emerging technologies in web development and make recommendations for adopting new tools and practices
Who you are:
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Degree in Computer Science, Engineering or a related field, or equivalent work experience
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Minimum of 5 years of experience in developing APIs or backend systems in different languages (we'll gravitate towards Python and Node.js)
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You can evaluate trade-offs and propose the most appropriate storage solution (SQL, NoSQL, Vector DBs)
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You have experience with event queues such as Kafka or RabbitMQ
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You make containers look simple, and are the go-to person to discuss Docker or Kubernetes
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You can make anything run in AWS or Google Cloud
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You enjoy hard problems and open-ended assignments
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You use data to make decisions, and experiment your way around hard problems
Bonus points:
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You've developed products with LLMs before (extra if you've already built your own agents)
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You're familiar with vector databases and similarity search
Perks and benefits:
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Generous equity package
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Competitive salary and benefits