Welcome to the first AI litigation finance firm. Legalist is a small, fast-growing fintech startup disrupting a booming new asset class. We invest in lawsuits using cutting-edge artificial intelligence technology, and have been funded by top VC's in Silicon Valley.
Our mission is to help plaintiffs in meritorious lawsuits see justice.
Join a team of engineers, lawyers, and data scientists to make real-time investment decisions in a fast-paced environment. As featured in the international press, including WSJ, The New Yorker, Above the Law and Wired amongst others.
Our philosophy is to keep an incredibly lean team, made up of the smartest individuals out there. We move fast, and all of us have significant autonomy over our individual responsibilities.
Candidate will be responsible for writing robust programs for real-time scraping of data from various Web sites. Many different strategies will be employed to achieve scraping goals so flexibility and a spider-sense of how things could break is a must. This is a challenging role that is a core piece of the business so accuracy, consistency and robustness are a must.
Autonomy over a core product and data pipeline
Collaborate with other engineers and designers to develop and ship features
Write efficient, modular, and reusable libraries and abstractions
Design and build internal tooling to improve development efficiency
Find and solve performance issues
Participate in code reviews
The ideal candidate will demonstrate in-depth knowledge of Web fundamentals including HTTP, HTML5, CSS, DOM, JS. They will be a proponent of Web standards, and follow proposed and emerging standards closely. They will be familiar with common site structures and navigation systems including client-side routing and patterns involving modern front-end frameworks including React and Angular.
Experience working with data stores such as MySQL/PostgreSQL, or similar
Experience working with Cloud Computing technologies (e.g. AWS)
Backend engineering experience in Python/Django
Experienced with software engineering best practices - design patterns, code reviews, unit and integration testing etc.
Ability to communicate technical specifications both verbal and written