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Falconer

AI-powered engineering knowledge management platform

Founding AI Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • An advanced degree in Machine Learning, Computer Science, Data Science, or Engineering, or equivalent work experience.
  • At least 2 years of professional experience developing machine-learning data pipelines.
  • Experience with text embeddings, retrieval-augmented generation systems, and similarity search.
  • Familiarity with entity and relationship recognition models.
  • Prompt engineering skills.
  • Ability to implement backend systems in Python and/or Node.js.
  • Ability to evaluate tradeoffs and propose appropriate storage solutions, including SQL, NoSQL, vector databases, and graph databases.

Responsibilities

  • Participate in the entire product development lifecycle, including architecture, coding, testing, and deployment.
  • Research and apply best practices in knowledge graphs, embeddings, vector and graph retrieval-augmented generation search, fine-tuning, and model optimization.
  • Develop and maintain backend systems, including API services, databases, and server-side logic.
  • Optimize the technology stack and applications for precision and speed.
  • 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.

Desired Qualifications

  • Prior experience developing products with large language models, especially building agents.
  • Experience fine-tuning foundational models to tailor responses to specific data use cases.
  • Experience with LlamaIndex and Memgraph to produce knowledge graphs.

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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