Full-Stack Software Engineer

About Centauri AI

Centauri AI is a document ETL and data science platform revolutionizing how financial institutions handle due diligence, portfolio monitoring, and compliance. Leveraging AI agents, we serve private equity, private credit funds, asset managers, and investment banks, driving efficiency and productivity across the financial industry.

The Role

As an early engineer at Centauri AI, you will work closely with the CTO, product team, and customers to develop cutting-edge solutions for the financial sector. We’re seeking a talented engineer with experience delivering complex projects and building scalable, maintainable front-end software. In this role, you’ll design and implement high-quality user-facing systems while shaping the future of finance.

Primary Responsibilities

• Write and debug well-formatted, self-documenting code; request and review feedback with concise commit comments and comprehensive PR descriptions. 
• Deploy and test code in deployed environments, then monitor, investigate, and fix bug stack traces, error messages, and performance issues.
• Prioritize and estimate size for technical tasks originating from both product and engineering teams.
• Occasionally consult with non-technical teams on resolving production issues.

Minimum Skillset

• 2+ years writing Javascript with React deployed in production environment
• 2+ years building web-based apps that use HTML + CSS
• 1+ years using Linux and/or Mac developer tools (VSCode/Xcode/npm/brew/apt)
• 1+ years using Github in an enterprise environment

Extra Credit

• 1+ year using AWS as primary cloud, experience with EC2 + S3
• 1+ years writing Python deployed in production environment
• 1+ years interacting with SQL database in production environment
• Prior project experience using any of these libraries and protocols:
  • FastAPI / ASGI, GraphQL + Apollo, SQLAlchemy
• Any CS Degree or Coding Bootcamp Certificate

Soft Skills

• Native-level fluency in English speaking and writing
• Evidence-first mindset, deduce strong conclusions but still open-minded to new data and perspectives
• Independence and resilience, systematically breaking down unknowns and embracing challenges outside of one's skillset
• Enthusiasm for high-pressure, hyperspeed seed-startup to maximize exposure and learning