Top Artificial Intelligence Jobs in Osaka

Own the roadmap and delivery of AI automation products, including reliable AI agents, tool-calling workflows, n8n automation pipelines, API integrations, and React-based interfaces. Partner with sales, content, and marketing to identify opportunities, then monitor, debug, and improve shipped solutions. The role requires strong product ownership, hands-on AI and automation experience, technical range across frontend and integrations, and fluency with LLMs and agent frameworks.

Build end-to-end software features across frontend, backend, and AI components. Responsibilities include developing interfaces, APIs, backend services, data pipelines, automation workflows, and LLM-powered applications such as RAG systems and AI agents. The role involves testing, documentation, debugging, cross-functional collaboration, product iteration, and using AI coding tools to improve development speed and quality.

Design, develop, and optimize autonomous AI agents capable of reasoning, planning, tool use, and multi-step execution. Build agent frameworks, human-AI collaboration mechanisms, monitoring and evaluation systems, and production integrations. Apply large language models, prompt engineering, reinforcement learning, planning algorithms, workflow orchestration, and system design. Collaborate cross-functionally while researching advances in agent technology and improving reliability, accuracy, safety, and efficiency.

Create high-impact AI-generated video and animated ad creatives from brief to final delivery. Use generative AI tools for ideation, moodboarding, prompt engineering, asset variation, and production polish. Collaborate with business and local market teams, present work to stakeholders, and optimize creative performance for marketing and paid ads.

Lead strategy, design, deployment, and scaling of agentic AI, generative AI, predictive analytics, and MLOps across commercial, medical, and enabling functions. Build governance, evaluation, and production standards; transition PoCs to scalable AI capabilities; hire and lead AI teams and drive business adoption in regulated environments.

Lead design and delivery of AI-powered system transformations for enterprise clients across the full lifecycle: requirements, design, development, testing, migration, project management, and operations. Develop and deploy generative AI (LLM/RAG/agent) solutions, collaborate with cross-functional and global teams, and improve internal system integration and operational practices.

エンタープライズ向けに生成AIやクラウドを活用した業務変革を推進するポジション。要件定義〜設計・開発・テスト・移行・運用設計までのシステムライフサイクルとプロジェクト管理、社内外チームやグローバル連携での価値創出を担当します。

Drive generative-AI adoption for sales and admin teams: analyze workflows, design Copilot prompts and Gemini chatbots, improve Microsoft 365 and knowledge systems, train staff, coordinate with IT and vendors, and measure impact to boost productivity and DX.

Build high-performance, scalable React+TypeScript web applications for payment experiences. Design reusable UI components and optimize frontend performance while collaborating with cross-functional teams on architecture, testing, accessibility, and product delivery.

Customer- and partner-facing technical specialist driving Secure AI and Copilot adoption across Japan. Lead technical engagements, workshops, demos, and POCs for Microsoft Defender and Purview, enable partners, translate requirements into secure solutions, and support deployment readiness and scalable partner enablement.

Provide technical support for Wiz's cloud and AI security product: troubleshoot customer issues, escalate as needed, manage incidents, create scalable automation and solutions, update documentation, and participate in on-call rotations.

Lead product roadmap and execution for AI-driven on-chain monitoring tools, coordinate cross-functional teams, analyze market and customer feedback, deliver product features on schedule, and communicate with stakeholders to align expectations.

Own revenue and commercial relationships for AI and agentic workloads in Japan. Carry quota, build pipeline with enterprise accounts, lead complex multi-stakeholder deals, partner with solutions engineering and ecosystem, drive demand via workshops/POCs, and provide customer feedback to shape product and go-to-market strategy.

Lead and operate enterprise Azure and Microsoft 365 platforms, manage hybrid identity (Entra ID/AD), deliver and govern AI solutions (Azure OpenAI, Azure ML, Copilot), provide L2/3 support, secure and govern cloud resources, manage on‑prem infrastructure, and drive vendor, project, and stakeholder engagement to scale AI initiatives.

Early-career full stack internship developing frontend and backend features under senior guidance. Integrate AI coding tools into workflows, translate product requirements to implementations, contribute across the product lifecycle, and suggest cross-team process improvements while learning full-stack practices.

Build internal AI developer productivity tools (coding assistants, retrieval systems, workflow automation). Develop LLM-powered apps for code generation, understanding, and test automation. Integrate AI across the SDLC, embed with teams to remove friction, experiment with prompt engineering, RAG, and AI agents, and evaluate emerging AI technologies.

Early-career TechOps role: build dashboards/alerts, script repetitive ticket steps, participate in RCAs, log user pain points and propose fixes, create a lightweight agent (e.g., Telegram bot) with reusable skills, optimize incident-management workflows, and write actionable runbooks to improve support-driven user experience.

Lead planning, design, delivery and promotion of a customer-service chatbot management platform. Use AI and big data to improve CS operations (corpus training, SOPs, assistant replies, summaries). Collaborate with engineering, UX, and CS teams. Monitor KPIs and user cases to drive product improvements.

Six-month early-career internship building LLM-powered agent workflows and production AI components. You'll design prompts, retrieval and tool-use logic, run benchmarks, improve quality/latency/reliability/safety, contribute to backend services/APIs, and ship working prototypes alongside full-time engineers.

Design and implement complex backend services for Binance Square. Collaborate with product, DevOps, and QA to deliver high-quality microservices, promote engineering best practices, and perform code reviews.

Early-career intern will support AI projects for compliance and risk (KYC, KYB, EDD). Tasks include testing and optimizing LLM/Agent workflows, reviewing prompts and model outputs, documenting findings and edge cases, supporting small-scale implementations, and performing operational analysis to improve processes.

Early-career full stack engineer role to build end-to-end product features, integrate AI coding tools into the workflow, mentor peers, improve cross-team efficiency, and contribute across the product lifecycle from design through deployment.

Build and maintain full-stack web applications using React/Vue frontends and Java/Spring Cloud microservices. Design and consume REST/AI model APIs, work with SQL and NoSQL databases, use AI-assisted development tools, own features end-to-end, collaborate across product and design, ensure high-quality UI/UX, write tests, and contribute to documentation and architecture.

Join as an early-career full stack engineer to build frontend and backend product features, integrate AI coding tools into development workflows, translate product requirements into implementations, and grow toward autonomous full stack delivery while improving cross-team processes.

Support development of internal LLM-based tools (coding assistants, RAG pipelines, prompt optimization), improve engineering efficiency, test and document AI tools, and research emerging AI technologies.