About Cicero
Our vision is to become the most trusted AI partner to the world’s foremost legal and risk departments. We are committed to delivering advanced AI and Knowledge platforms, services, and applications with a customer-centric focus, ensuring tailored solutions for specific needs and challenges.
Founded in 2023 by experienced entrepreneurs with a history of successful ventures and leaders from renowned companies like Google, Apple, Amazon, Relativity, TextIQ, and Cresta AI. We are backed by prominent Silicon Valley seed investors and angels, including Floodgate and Sierra Ventures, and are ready to transform an industry valued at hundreds of billions of dollars.
Why Cicero?
Seize a unique opportunity to work with highly sensitive and valuable data from Fortune 500 companies' legal and risk departments, developing the most secure, enterprise-grade software using and innovating the latest in Generative AI.
Tackle challenges in creating cloud-agnostic solutions, maintaining stringent security and compliance standards, and building scalable, resilient platforms for enterprise applications, data, AI, and search.
Innovate on behalf of our customers, collaborating with the world's top legal and risk experts, as well as preeminent business, technology, AI professionals, and engineers.
Competitive base salary, benefits, and equity.
Role & Responsibilities
Develop, maintain, and enhance data pipelines, apply transformations to structure data, extract entities, topics, and more.
Utilize task-specific embeddings for efficient indexing and searching within large datasets.
Fine-tune AI models and optimize inference mechanisms for maximum efficiency.
Design and implement APIs to expose advanced AI-driven functionalities over customer data.
Construct and manage an evaluation platform, establish metrics, and continuously refine the quality and performance of AI models, knowledge search, and algorithms to empower applications used by legal professionals.
Experience Required
5+ years in data engineering, AI, or a similar field, with a strong emphasis on cloud technologies and enterprise solutions.
Proficiency in working with foundational and Large Language Models (LLMs).
Experience with AI/Machine Learning frameworks like TensorFlow, PyTorch.
Expertise in programming languages like Python, Java, or Go.
Experience with Agile/Scrum methodologies, CI/CD pipelines, and cloud-native application development.
Demonstrated experience in building and scaling data pipelines and advanced search systems.
Senior, Staff, or Tech Lead level experience. Ability to lead and guide teams.
Bonus
Familiarity with working with Azure and AWS cloud
Interest or background in legal tech application development.
Prior experience with early-stage AI startups.
Drive to tackle complex, novel problems.
Willingness to work 4 days a week from our office in Palo Alto, California
Skills Required
- 5+ years of experience in data engineering, AI, or a similar field
- Strong experience with cloud technologies and enterprise solutions
- Proficiency with foundational models and large language models
- Experience with TensorFlow or PyTorch
- Proficiency in Python, Java, or Go
- Experience with Agile and Scrum methodologies
- Experience with CI/CD pipelines
- Experience with cloud-native application development
- Experience building and scaling data pipelines and advanced search systems
- Senior, Staff, or Tech Lead-level experience
- Ability to lead and guide teams
- Familiarity with Azure and AWS
- Interest or background in legal technology application development
- Experience at early-stage AI startups
- Willingness to work four days per week from the Palo Alto office
What We Do
Cicero is building an AI and knowledge-platform company for legal and risk departments. Its mission is to become the most trusted AI partner for these customers by delivering advanced, customer-focused AI platforms, services, and applications. The company develops secure, enterprise-grade software for sensitive Fortune 500 data, combining generative AI, data, search, and cloud-agnostic infrastructure to address complex legal and risk workflows.







