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Falconer

AI-powered engineering knowledge management platform

Founding Backend Engineer

Backend EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • A degree in Computer Science, Engineering, or a related field, or equivalent work experience.
  • At least 5 years of experience developing APIs or backend systems in different programming languages; Python and Node.js are especially relevant.
  • Ability to evaluate trade-offs and propose an appropriate storage solution, including SQL, NoSQL, or vector databases.
  • Experience with event queues such as Kafka or RabbitMQ.
  • Experience with Docker or Kubernetes and containerization.
  • Experience deploying applications on AWS or Google Cloud.

Responsibilities

  • Participate in the entire product development lifecycle, including architecture, coding, testing, and deployment.
  • Research and apply best practices for infrastructure, deployment, and containerization of products and the machine-learning stack.
  • Develop and maintain backend systems, including API services, databases, and server-side logic.
  • Optimize applications for speed and scalability.
  • Write clean, efficient, and well-documented code following industry best practices.
  • Stay updated with emerging technologies in web development and recommend new tools and practices.
  • Use data to make decisions and experiment to solve difficult problems.

Desired Qualifications

  • Experience developing products with large language models, especially building agents.
  • Familiarity with vector databases and similarity search.

About the Company

Falconer

AI-powered engineering knowledge management platform

Falconer.ai provides AI-powered knowledge management tools for engineers and technical professionals. Its platform offers a unified interface where users can generate prose, diagrams, code samples, and data tables, all powered by AI agents that organize and continuously update information to maintain accuracy. The product works by integrating multiple content creation and data-generation features in one workspace, with automation handling the curation and refreshing of knowledge. This differentiates Falconer.ai from competitors by focusing on automation and accuracy for engineering knowledge within a single platform, rather than offering loosely connected tools. The company’s goal is to improve the reliability and efficiency of engineering work by keeping knowledge up to date and easy to access through a subscription-based model.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
San Francisco, CA
Founded
2024

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