【LLM Engineer】Custom-made AI development company/Hybrid ok/Business Advanced Level

★LLM Engineer | AI Start-up CompanyBusiness Level Japanese REQUIRED◆ Flextime & Hybrid Work◆ Listed Company◆ Side-job OK◆ Annual Salary： 6 million ～ 8 million yen.-------------【About the company】-------------The name “Laboro” is derived from the Latin word “labor,” which is the root of the word “labor.” The company name reflects its desire to provide AI that can reduce labor, improve efficiency, and enhance results, all of which are currently performed by human labor alone.In addition, the name “Laboro.AI” is derived from “Labo,” meaning “laboratory” in reference to the company's high development and technological capabilities, as well as its desire to collaborate with a wide range of people.The company is a group of AI & machine learning specialists who develop and provide tailor-made AI solutions, “Custom AI”.The company's mission is to be the “link” between cutting-edge AI technology and the client's business.-------------【 Job Description】-------------The company is a team of AI/machine learning specialists that develops and provides custom-made AI models, known as "Custom AI." As a startup, its mission is to bridge the gap between cutting-edge AI technology and client businesses.With its high level of technical expertise and problem-solving capabilities, the company has already been recognized by major corporations, resulting in numerous implementations and repeat contracts.Machine learning engineers at the company accelerate innovation for clients across a wide range of industries by leveraging optimal technologies. This requires constant learning and staying up to date with the latest advancements, and the company offers an environment where knowledge and technical skills in cutting-edge fields are continuously updated.As the company aims to further expand its business, it is actively seeking talented individuals to join the team. Applications are welcome from those who aspire to drive industrial innovation and engage in truly business-oriented development.【About this Position】As a dedicated LLM engineer, you will work with the company's solution designers (responsible for customer negotiations, project management, etc.) to analyze data, verify/develop/improve LLM models, report results, and develop systems using LLM. (One lead engineer will be assigned to each project to provide support.)In addition, you will be responsible for catching up on the latest technologies related to LLM, deploying them within the company, and developing frameworks for multi-agent systems.【Responsibilities】・Participation in client projects and development of solutions using LLM ・Catching up with the latest technologies related to LLM and deploying them internally ・Framework development for multi-agent systems ・Technical briefings for internal project members and clients【Installation Examples】Many of the company’s clients are publicly listed companies.・Development of a chatbot to improve maintenance operation efficiency・Development of a multi-agent conversational system that replicates human-like personalities・Development of a design evaluation system utilizing a multimodal LLM【Position Highlights】・Constant opportunities to take on new challenges with cutting-edge LLM technologies・Solve real-world business and operational issues across various industries using LLM technology・Stay actively engaged in both business and academia-level technical advancements・Be involved in truly impactful applications of LLM technology and system development that deliver real business value—not just buzzwords・Contribute to driving innovation through AI-------------【 Requirements】-------------■Required・Development experience using Python ・Experience using LLM frameworks (LangChain, LangGraph) and developing solutions using RAG ・Experience catching up on the latest information related to LLM and using it in your work ・Japanese language skills above business level ・English proficiency enough to read English papers Ability to read English papers■Preferred・Experience in architecture design and implementation of multi-agent systems (MAS)・Hands-on experience with multi-agent frameworks such as LangGraph, AutoGen, CrewAI, PydanticAI, etc.・Experience in designing, building, and operating knowledge graphs and vector databases・Practical experience in prompt engineering, especially in designing and optimizing prompts for AI models such as ・GPT-based and Claude-based models・Experience in fine-tuning LLMs and conducting accuracy validation・Familiarity with using Local LLMs・Understanding or implementation experience of MCP (Model Context Protocol)・Master’s or Doctoral degree in Computer Science or a related field・Publications in international conferences or journals related to LLM・Experience applying LLMs to real-world problems through collaborative research・Practical or research experience in Natural Language Processing (NLP)・Experience developing with deep learning frameworks such as PyTorch, TensorFlow, or Keras・Experience working in remote environments (on-premises or cloud platforms such as AWS) and with containers (e.g., Docker)・Experience managing code using GitHub or GitLab・Development experience using Rust・Experience in quickly learning and adapting to technologies outside one’s area of expertise・Ability to communicate logically and collaborate effectively with team members・Ability to work independently and make autonomous decisions・English communication skills (as some employees are non-Japanese)■Ideal Applicants・Proactive attitude and willingness to take initiative– Projects are carried out in pairs with a business-side Solution Designer and an engineer, so it is essential to tackle challenges autonomously– Being able to admit when you don’t know something and proactively ask for help is important・Ability to explore solutions not only through methods or algorithms but also by revisiting and redefining the problem itself・Willingness and ability to learn unfamiliar or non-specialized technologies– Since projects may require knowledge outside your area of expertise, the ability to independently acquire such knowledge significantly impacts growth・Genuine interest in a wide range of technologies--------------------------------------------------【Working Time 】Flextime System【 Welfare 】■Flextime system available (no core time)■Remote work available (full remote work possible)■Overtime allowance (paid separately based on overtime hours)■Bonus twice a year (varies depending on individual performance and company performance)■Full social insurance (employment/worker's accident compensation/health/employee's pension)■Transportation expenses paid (full amount)■Remote allowance: 10,000 yen per month (conditions apply)■Remote environment construction fee/30,000 yen (conditions apply)■Periodic medical checkups■Subsidy for seminar participation■Subsidy for purchasing books■Laptop PC and monitor provided separately■Free drinks■Subsidized lunch meetings twice a month■In-house club activities■Services provided by Kanto IT Software Health Insurance Association■Side job OK (prior approval required)【 Holiday 】■2 days off per week (Sat./Sun.)■National holidays■Year-end and New Year vacations■Paid leave■4 days during probationary period / after probationary period, prorated according to month of employment based on April 1 (from 15th)■Celebration or condolence leave-------------------------------------------------------------------------