Centari is the Deal Intelligence platform for law and finance. Our agentic model transforms unstructured documents into valuable insights, empowering professionals to forecast, analyze, and negotiate with the full force of their firm’s knowledge.
We call it data-driven dealmaking, and it's transforming the economy as we know it.
Today, Centari supports attorneys from global firms across M&A, debt finance, asset management, and real estate. We are backed by top investors in enterprise AI, including former DoorDash board member Jeremy Kranz, Seamless co-founder Andy Appelbaum, Jack Altman, South Park Commons, Recall Capital, and GTMfund.
For more information, check out centari.com or find us on LinkedIn.
We are hiring a Senior AI Engineer to join our product team. You'll be a key player in designing Centari's core AI technology, working alongside engineers who share a bias for action. As one team, you'll write code, shape the product, interact with customers, and drive initiatives from concept to completion.
Our systems are built with Go and React/TypeScript, leveraging cutting-edge LLM technologies across infrastructure, search, and persistence layers. If you're passionate about building impactful LLM applications and thrive on owning complex challenges, we want to hear from you.
This is primarily a remote role.
Design, develop, and deploy AI-powered solutions, focusing on LLM technologies.
Collaborate with cross-functional teams to define and implement product features and improvements.
Contribute to the design of robust, scalable, and maintainable systems.
Interact with customers to gather feedback and ensure alignment with their needs.
Own the full development lifecycle of AI features, from ideation to deployment.
Fluent with the latest AI technologies. Strong understanding of LLMs and agent-related technologies.
5 years of experience working with production software
Python and/or Golang expertise
Proven ability to work with cutting-edge technology and eagerness to learn new skills.
Willingness to roll up sleeves and get things done - our engineers are comfortable switching between different technical domains as needed.
Strong collaboration skills and ability to work effectively in a fast-paced environment.
2 years of experience in Machine Learning, Data Science or Applied Science roles
Experience in a startup environment.
Build at the frontier of AI for knowledge work, with a highly engaged user base from top firms.
Flat organizational structure promoting autonomy and direct impact.
Meaningful equity in a high-growth startup.
Competitive salary and comprehensive benefits (health, dental, vision, 401k).
Hybrid remote/office culture in SF and NYC or 100% Remote. Flexible PTO.
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At Centari, we’re reimagining deal intelligence for law and finance, and we’re on the lookout for a talented Senior AI Engineer to join our innovative team in New York. As part of our product team, you'll dive into the intricacies of our core AI technology, collaborating with skilled engineers who believe in taking action. This role offers the exciting opportunity to develop and deploy AI-powered solutions focusing on the latest LLM technologies. You will not only write code but also shape the product and interact directly with customers, ensuring we meet their needs all while driving initiatives from concept to completion. With our tech stack of Go and React/TypeScript, you'll help build robust, scalable, and maintainable systems that empower professionals to make data-driven decisions in real time. If you’re passionate about harnessing AI to create meaningful applications and love tackling complex challenges head-on, we encourage you to apply. This position offers you the flexibility of a remote work environment, balancing impactful work with a supportive culture that thrives on creativity and collaboration. Join us at Centari and be a key part of transforming the future of deal-making.
centari is the platform for deal intelligence, combining secure llms with trusted precedent to accelerate transactions. we are leading the way to a future of data-driven dealmaking.
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