Forward Deployed Software Engineer
Lazarus
Forward Deployed Software Engineer
Lazarus
Enterprise AI for regulated document understanding
We help organizations move AI out of experimentation and into production — safely, reliably, and at scale. From inconsistent performance to limited transparency and challenges with integration and long-term viability, our Applied Intelligence Engine solves the risks that cause most AI initiatives to stall.
Built for some of the most highly regulated industries in the world, we enable teams to deploy AI systems that are auditable, explainable, and aligned with real-world constraints. Our solutions introduce structure, visibility, and control into how AI operates, turning advanced capabilities into a dependable, production-grade infrastructure so our customers can move faster and scale with confidence.
Contractor Details
Job Overview
Lazarus is seeking an experienced Forward Deployed Software Engineer to join our team dedicated to our Japanese market for a 1-year contract. As a contractor, you will be an integral part of our Engineering team, working with clients, senior engineers, and data engineers to facilitate the successful and efficient adoption of our solutions.
Responsibilities
Requirements
Lazarus AI is an equal opportunity employer. We are committed to equal employment opportunity and nondiscrimination for all employees and qualified applicants without regard to a person's race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation or any characteristic protected under applicable law. We do not tolerate discrimination or harassment of any kind. This applies to every aspect of employment at Lazarus, including, but not limited to, employment, training, promotion, demotion, transfer, leaves of absence and termination.
Lazarus AI provides enterprise-grade machine learning tools that help regulated industries extract and understand data from unstructured documents. Its RikAI foundation model reads various documents, including handwritten text, in 100+ languages while preserving layout; ATLS orchestrates multiple AI models to automate end-to-end tasks, and the platform handles text, images, audio, and video with explainable logs. It differentiates itself with on-premise/private-cloud deployment, multi-modal data capabilities, and an emphasis on handwriting and compliance-focused explainability. The goal is to automate data intake and unlock institutional knowledge to reduce manual work, lower costs, and improve accuracy and regulatory compliance.
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