Falconer
Founding Engineer, Backend
San Francisco, Bay Area
Sponsorship not specifiedDetected 464 days ago
PythonNode.jsSQLNoSQLVector DatabasesAWSGCPDockerKubernetesKafkaRabbitMQMachine LearningLLMsResearch
About the role
- As a founding engineer, you'll have a major impact on our product development, technical direction, and culture.
- We welcome applicants from all backgrounds and are committed to creating an inclusive workplace.
- If you are passionate about technology and thrive in a challenging environment, come join our team and help us shape the future of work communication.
Responsibilities
- Develop and maintain backend systems including API services, databases, and server-side logic
- Optimize applications for maximum speed and scalability
- You've developed products with LLMs before (extra if you've already built your own agents)
Requirements
- Degree in Computer Science, Engineering or a related field, or equivalent work experience
- Minimum of 5 years of experience in developing APIs or backend systems in different languages (we'll gravitate towards Python and Node.js)
- You can evaluate trade-offs and propose the most appropriate storage solution (SQL, NoSQL, Vector DBs)
- You have experience with event queues such as Kafka or RabbitMQ
- You can make anything run in AWS or Google Cloud
- You enjoy hard problems and open-ended assignments
Nice to have
- You're familiar with vector databases and similarity search
Compensation
- Competitive salary and benefits
Benefits
- Generous equity package
- Competitive salary and benefits
- 401(k) retirement account
- Flexible work arrangements with in-office work or hybrid work for the right candidate
Company info
- 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.
- At Falconer, we value diversity and equal opportunities.
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This listing is sourced directly from Falconer's careers page and normalized into a canonical job model.