LLM/VLM Tech Lead

■Overview This Lead Engineer / Tech Lead role drives the solution engineering and real-world deployment of cutting-edge AI technologies, including Large Language Models (LLMs) and Vision-Language Models (VLMs), to solve complex societal and industrial challenges. Operating with high autonomy, the position provides technical leadership to accelerate clients' Digital Transformation (DX) initiatives, delivering high-impact, production-grade AI solutions. 【Responsibilities】 As a lead engineer in the Advanced AI Development Department, you will be responsible for a wide range of tasks, from client projects to strengthening our in-house technical capabilities. 1. Leading LLM-Driven Solution Development & Technology Consulting: System & Product Development (Architecture, Implementation, & Project Management): ・Executes end-to-end AI development lifecycles, including data collection and preprocessing, model selection, fine-tuning, evaluation, and production deployment across on-premises and cloud infrastructures. ・Representative Projects: R&D support for traffic safety utilizing Vision-Language Models (VLMs); performance optimization of Retrieval-Augmented Generation (RAG) systems for financial institutions. Generative AI Consulting (Requirements Definition & Strategic Execution): ・Acts as a Digital Transformation (DX) technical partner by gathering client requirements and driving technical strategy for Generative AI adoption. ・Representative Projects: Adoption support and architectural guidance for Generative AI implementation in financial services. 2. Technical Leadership in Proposal Delivery & Client Negotiation: Directs technical investigations and feasibility studies to formulate and present optimal AI solutions tailored to latent client business needs. 3. Organization-Wide Technical Capability Elevation: ・Knowledge Sharing & Institutionalization: Systematically codifies project insights into internal documentation and knowledge bases to elevate overall organizational engineering standards. ・Advanced Technology R&D & Mentorship: Continuous tracking of emerging AI trends and leading internal study groups, technical presentations, and skill-up initiatives for team members. Working Hours: FLEX-TIME （Core time 11：00～16：00） ※Remote-work possible Job Requirements ■Required ・Development experience using Python and machine learning libraries such as PyTorch ・Experience in developing large-scale language models (LLMs, VLMs, etc.) in at least one of the following areas (①–③): 　　① Experience in algorithm, product, or system development (proposal, design, implementation, and development management) for projects utilizing large-scale language models 　　② Experience in improving the performance of large-scale language models (data creation, RAG, fine-tuning, prompt engineering, optimization for speed and efficiency, and accuracy/performance evaluation) 　　③ Experience in building systems that include large-scale language models (on-premises and cloud environments) ・Experience leading projects and teams in AI development ・Knowledge of and development experience in natural language processing (NLP) ・Experience in team-based development using version control tools (Git) ・Experience in technical communication and technical proposals with sales teams and clients ■Preferred ・Knowledge and development experience in image processing (image recognition AI, classical image processing) ・Experience deploying and operating machine learning models ・Knowledge and experience with container technologies such as Docker and Kubernetes ・Experience designing and operating databases (SQL/NoSQL) ・Ability to read technical documents and communicate in English ・Ability to stay abreast of the latest research papers and technical trends and apply them to practical work ■Ideal Applicants ・Complex Problem-Solving: Advanced analytical capability to systematically decompose complex engineering problems and devise highly effective, scalable solutions. ・Proactive Ownership & Continuous Learning: Self-driven initiative to independently acquire emerging technologies, master new domains, and make active, high-impact project contributions. ・Cross-Functional Team Collaboration: Proven team-player capability to collaborate seamlessly, maintain clear communication, and work effectively across multidisciplinary teams. ・Agile Adaptability: Demonstrated flexibility to pivot and adapt smoothly within rapidly evolving technical environments, shifting priorities, and changing project requirements. ・Customer-Centric Value Creation: Strong client focus with the capacity to deeply understand customer pain points and deliver tailored, value-driven technical solutions. English Level: None Japanese Level: Business Level(JLPT Level 2 or N2)