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Company Name
Stockmark Co., Ltd.
Job Type
1196 [Dev] Applied Research Engineer (AI Agent Research & Development / Customer Implementation)
Work Detail
[Job Description] Develop and improve AI agents using cutting-edge technology, evolving them into products that deliver value to enterprise customers' operations. Take ownership of the entire value transformation cycle of the agent, from initial value validation PoC to continuous improvement after feature improvement releases accompanied by technical verification. Collaborate with researchers, PMs, and consultants to translate customer challenges into technical requirements, and lead decision-making while implementing them yourself. ■Specific Job Responsibilities Enhancing the core logic of the AI agent Designing and executing initial value validation PoCs that connect research results and prototypes to customer value Designing and executing evaluation platforms and improvement cycles for released agents (including designing accuracy evaluations and optimizing workflows and prompts) Designing and customizing agents based on customer-specific business requirements Abstracting insights gained from experiments and evaluations and providing them back to both the SAT product team and the research team Scope of changes in job responsibilities: Development and operation of services and products operated by the company, and related tasks, and other tasks designated by the company.
Ideal Profile
Required Skills
*All are required
Research experience in the fields of AI/NLP/Machine Learning (graduate school research or corporate R&D is acceptable. Publication history is not required)
Knowledge and implementation experience of generative AI (LLM, RAG, agents, etc.)
Ability to autonomously perform experimental design, evaluation, and prototyping in Python
Ability to evaluate technical verification results from the perspective of customer value and product, and connect them to the next action
Preferred Skills
Experience writing and presenting papers at international conferences, journals, and domestic academic societies
Practical experience in designing and evaluating LLM agent workflows (offline evaluation, construction of accuracy evaluation infrastructure, etc.)
Experience in promoting PoC and R&D projects involving customer negotiations
Knowledge of statistical modeling, Bayesian estimation, etc. (e.g.) (Aptitude for addressing challenges such as the advancement from point estimation to distribution estimation)
Experience in commercializing research results at a business company's R&D or AI startup
Desired Candidate Profile
Someone who values both the enjoyment of research and business impact, and finds fulfillment in transforming technology into customer value
Someone with the technical skills to discuss on equal footing with leading researchers, and who aims to create value beyond just academic papers
Someone who takes ownership and can design and move forward with hypothesis testing even when requirements are ambiguous
Someone who enjoys listening to customer feedback and discovering technical challenges from it
Work Location
[Head Office Location] LIFORK MINAMI AOYAMA S209, 1-12-3 Minami Aoyama, Minato-ku, Tokyo [Work Location] Head office or home or any other location where remote work is possible (no restrictions on location) *Full remote work is permitted
Phd. Stating Salary
Monthly Salary: ¥667,000 - ¥1,250,000