About LEGALON TECHNOLOGIES, INC. LegalOn is a global leader in AI for in-house legal teams. We help corporate counsel guide, govern, and grow their businesses with speed and sound judgment. By combining trusted legal expertise with agentic AI that adapts to each customer’s policies and practices, LegalOn delivers the first productivity platform for everyday legal work across contracting, counseling, and governance. From advanced tools for contract review and matter management to a legal AI assistant that can research, answer questions, and draft, LegalOn helps teams save up to 85% of time on routine work — expanding what they take on without compromising quality or control. Trusted by 8,000+ organizations worldwide, LegalOn is backed by $200 million from leading investors, including Goldman Sachs and SoftBank Vision Fund. With headquarters in San Francisco and Tokyo, and teams in London, Munich, and Singapore, LegalOn supports businesses of all sizes across industries and languages. About the role We are looking for a Senior Agentic AI Engineer to join our team. You will be at the forefront of designing, developing, and deploying agentic LLM workflows that leverage cutting-edge AI techniques to streamline contract workflows, with a strong focus on the legal domain. This is a unique opportunity to apply your expertise in AI and software engineering to solve complex, real-world challenges in a high-impact setting. Responsibilities: - Design and implement robust agentic LLM workflows for production. - Integrate AI solutions with existing SaaS platforms, internal APIs, and legal workflow systems. - Evaluate third-party models, frameworks, and services to determine their suitability and integration potential. - Collaborate with cross-functional teams to gather requirements, understand user needs, and deliver high-impact agent solutions. - Build tooling and observability to monitor, test, and evaluate AI agent performance. - Conduct code reviews and maintain best practices in documentation and version control. - Diagnose and resolve issues in AI systems to ensure accuracy, reliability, performance, and scalability.
