.Are you driven to AI technology?The team is seeking a creative backend engineer to join the team behind CoCounsel. You will help build applications that interact with state-of-the-art Large Language Models (LLMs) that deliver cutting-edge and time-saving solutions to attorneys all around the country.CoCounsel is already capable of writing legal research memos, summarizing and reviewing documents, and red-lining contracts, just to name a few capabilities all in minutes, not days or weeks.And we're just getting started.About the role :Develop the systems that orchestrate our users' interactions with LLMs, smaller ML models, and other critical services.Work closely with prompt engineers and other subject matter experts in the company; the systems you developwill unlock much of the value presented by LLMs.Our ideal candidate is a dependable backend engineer who is fluent in Python, HTTP APIs, and SQL who also has experience working with or passion about machine learning systems.Write Python API server code that handles requests from a front-end client (or many front-end clients).Develop novel client code suitable for a high-volume production environment.Orchestrate LLM-driven experiences that delight our customers.Utilize the latest and greatest LLM models and services.Empower prompt engineers and other SMEs by developing intuitive prompting frameworks.Write SQL queries and occasionally design schema.Participate in and contribute to high-level architecture discussions within the Backend / Prompting team and across other teams.About you :At least two years of production level experience in software engineering on an engineering / product team, preferably at a startup.Strong Python, HTTP API, and SQL skills are required.Ideally has worked previously with writing or deploying machine learning models for use in a production setting.Experience working with a cloud service provider like AWS, Azure, or GCP.Bachelor's degree in Computer Science, Math, or a related field.What's in it For You?You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:Hybrid Work Model : We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role).Wellbeing : Comprehensive benefit plans; flexible vacation;two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country; Headspace app subscription; retirement; and employee incentive programs.Culture : Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.Learning & Development : LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company