Developer Relations Manager, Agentic AI — Japan
Salary not listed • Japan, Tokyo • Full-time
Posted 7d ago
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Agent Engineer
About the job
NVIDIA is seeking a Developer Relations Manager for Agentic AI in Japan. This role involves working directly with AI-native companies, model builders, startups, and enterprise engineering teams to help them build, optimize, and deploy generative AI and agentic systems using NVIDIA technologies. The focus will be on AI agents, agent harnesses, and the underlying models and infrastructure. This is a hands-on technical position that blends developer engagement, software development, education, and ecosystem strategy, with initial priorities in AI Native and Agentic AI, and potential expansion into financial services.
Responsibilities
- Build technical relationships with developers, founders, and engineering leaders in Japan's AI ecosystem.
- Assist developers in building and improving agentic applications, including tool use, orchestration, retrieval, memory, evaluation, and reliable execution.
- Support the adoption of relevant NVIDIA technologies like Nemotron, NeMo, CUDA-X libraries, and OpenShell.
- Create and maintain technical resources such as demos, sample applications, integration guides, tutorials, and hands-on labs.
- Deliver technical workshops, talks, office hours, and community programs in Japan.
- Collaborate with NVIDIA engineering, product, and solutions architecture teams to resolve technical barriers and provide feedback for product improvements.
- Help teams assess model quality, latency, throughput, cost, and operational tradeoffs.
- Extend successful approaches into the financial sector, addressing data privacy, security, governance, and operational requirements.
- Measure progress through developer adoption, successful integrations, repeat engagement, and issue resolution.
Requirements
- Degree in computer science, engineering, or related field, or equivalent practical experience.
- Typically 6+ years of relevant experience in software engineering, applied AI/ML, developer relations, solutions architecture, or developer platforms.
- Strong Python skills and experience building, debugging, and deploying LLM applications or agentic workflows beyond prompt experimentation.
- Practical understanding of tool calling, APIs, retrieval, orchestration, evaluation, and common agent failure modes.
- Familiarity with open models, model serving, and GPU-accelerated AI, including reasoning about performance and deployment tradeoffs.
- Experience with Git, Linux, containers, and collaborative software development.
- Demonstrated ability to help other developers succeed through technical guidance, documentation, workshops, or direct support.
- Strong communication skills in both Japanese and English.
- Ability to prioritize independently and collaborate across teams.
- Experience building agent harnesses, coding agents, multi-agent systems, or developer tools.