TECH-S-101/EN- Senior Software Engineer - Search, AI

We are a global legal AI company that combines advanced expertise in artificial intelligence with deep knowledge of law and contracts. Since our founding in 2017, we have been focused on building AI-powered legal services. We have raised a total of approximately $200 million across multiple funding rounds and are growing at an extraordinary pace. In 2022, we established a U.S. headquarters to accelerate our global expansion. Today, our flagship product, LegalOn: World Leading Legal AI, is available not only in Japan, but also in the U.S. and the U.K. We are also boldly exploring new business areas. In January 2025, we expanded our scope across the corporate domain with the launch of CorporateOn, our AI Counsel product. Our solutions incorporate cutting-edge technologies in natural language processing and machine learning, including large language models (LLMs), a structured Legal Document Graph for organizing legal information, and autonomous AI agents capable of planning and executing legal tasks. In addition, we have formed a strategic partnership with OpenAI, enabling us to deliver advanced user experiences and innovative legal solutions as a leader in the legal AI space. For more details about our company, products, and development organization: https://legalforce-recruit.notion.site/LegalOn-Technologies-3e114a8aecfb410a96424e34a0ed8bd6 【Key Responsibilities】 The Search and Recommendation group at LegalOn Technologies is responsible for a wide range of search, recommendation and agentic features in multiple rapid-growth services. LegalOn Technologies is a leading company of LegalTech in Japan, and Search and Recommendation is one of the most essential and mission-critical systems for our services. We are looking for a skilled Senior Software Engineer passionate about technology to design and implement various search/recommendation features and solve complex challenges to provide the best search experience to our customers. ■ What Mission and Challenges You’ll Take On - Collaborate with product managers to explore what exciting features we would deliver to our customers, make a practical plan about how the work should be done, and take responsibility for the delivery. - Mentor team members to help design software systems in sustainable/maintainable ways. ■ What You’ll Do - Design, build, and deliver a wide range of search, recommendation, and Agent features/APIs. - Identify performance and accuracy bottlenecks in LLM-powered applications and improve them, as well as implement functional extensions such as integration with search/recommendation features. - Proactively maintain and operate search and recommendation features/APIs. - Collaborate with team members and other teams to investigate performance and accuracy issues in search, recommendation, and Agent systems in production environments, establish quantitative evaluation metrics, and drive improvements. ■ Mindset - Proactively identify team and product challenges, take autonomous action toward solutions, and see them through to completion with full accountability - Share expertise generously to help maximize the overall output of the team - Collaborate effectively within and beyond the team, leading constructive discussions and sound decisions

- BS degree in Computer Science, Mathematics, or other technology-related majors. - 5+ years experience in search and software engineering. - Basic knowledge of data structures and algorithms. - Hands-on expertise in building highly reliable and performant web backend systems. - Hands-on experience with one of the Cloud Infrastructure Services: AWS, GCP, or Azure - Ability to communicate in Japanese on a daily basis (JLPT N2 or compatible experience)

- MS or Ph.D. degrees in Computer Science, Mathematics, or other technology-related majors. - Hands-on experience in Apache Lucene, Elasticsearch, or Solr. - Hands-on experience in developing Agent applications and related component technologies such as LangChain, Ragas, LlamaIndex, etc. - Hands-on experience in Python or Java. - Hands-on experience in machine learning and natural language processing. - Experience mentoring/training junior engineers. - Leadership experience in large-scale projects or teams (10+ members) with a proven track record of delivering results - A proactive attitude towards learning and adopting new technologies, including AI-powered efficient development and task execution - Strong communication skills, with the ability to work effectively across diverse cultures in both English and Japanese