Staff AI Engineer

Everlaw is looking for a Staff AI Engineer to help design and execute our overall technical strategy of applying AI in our product, directly contributing to our company’s vision of being the AI leader in legal discovery and litigation technology. AI is central to our product – not a bolt-on or afterthought – and represents a step-function advancement of our company’s mission of promoting justice by illuminating truth. We take the hardest problems of applying AI to complex litigation reasoning tasks, at the scale of millions (or 100s of millions) of documents and multimodal inputs. In this role, you will help to drive the work of a core squad of AI engineers, as well as providing technical guidance to engineers to level up their AI expertise across the broader engineering organization. You’ll also collaborate with (and learn from) a community of other staff and principal engineers with industry-leading expertise in databases and storage technologies, search, cloud infrastructure, full stack SaaS application design, data science, and performance. You’ll have regular visibility to, and interactions with, our Chief Technology Officer and other senior leaders at the company. At Everlaw, engineering is key to our mission. Our company culture is open and vibrant and we’re committed to the professional growth of our team members, offering an annual learning and development stipend an [... source excerpt omitted ...] right away! We trust that you’ll bring industry experience and knowledge that will uplift and uplevel the team, but we don’t expect you to know everything on Day 1. In your role, you'll... Lead the design and implementation of Everlaw's technical AI strategy. This includes staying on the cutting edge of the latest frontier models. Including participating in early access programs with all the major AI labs (Google, OpenAI, Anthropic, etc.) to provide direct feedback on unreleased models and API design, as well as staying abreast of evolving open-source offerings. You’ll devise our overall approach to using AI at trillion-token scale, including: Guide the work of engineers acr [... source excerpt omitted ...] you You have at least 6 years of experience working in ML/AI, and 8+ years overall in software engineering You have led significant AI projects, including applied use of LLMs in production settings and experience with NLP/text analysis, You have programming skills in at least one scripting language (like Python). You’re a constant learner, staying abreast of the latest AI developments from the industry, and how you might apply these to your work You're able to collaborate effectively with coworkers on different teams. You can zoom in to discuss technical details with other experienced AI engineers, and can zoom out to explain technical concepts without jargon. You’re willing t