Top Artificial Intelligence Jobs in Yokohama

Review AI-escalated risk cases (KYC, ATO, 2FA, withdrawals), make pass/block/escalate decisions, label outcomes with root-cause annotations to train ROCA, maintain SLAs and accuracy, update SOPs, and support model calibration and BPO onboarding.

Design and develop high-performance backend services for an AI-powered trading assistant: build AI agent execution, trading order execution, AI sub-account and API key lifecycle management, integrate Binance trading APIs, implement skills/tool-calling frameworks, and ensure scalable, low-latency real-time data pipelines, observability, and security.

Responsible for functional and API testing of platform products, designing and executing end-to-end tests across frontend, backend, strategy, and algorithms. Validate personalized user experiences, improve test coverage and QA processes, and drive adoption of AI-assisted test generation and automation. Collaborate with Product, Engineering, Algorithm, and Strategy teams to identify issues and ensure quality.

Early-career DevOps role focusing on Kubernetes and AWS operations, embedding security into the development lifecycle, automating processes, and implementing CI/CD solutions. Remote, fixed-term accelerator program for students and recent graduates.

Use your smartphone to converse with AI chatbots in Vietnamese (voice mode) following predefined prompts and goals, then rate each interaction in English on your laptop. Complete onboarding, follow confidentiality and detailed guidelines, and use personal devices (smartphone and laptop) to perform project-based tasks with variable hours.

Lead and deploy agentic AI solutions for clinical development: architect integrations with eClinical systems, build regulated autonomous agent systems with human-in-the-loop safeguards, run demos/POCs, troubleshoot deployments, and collaborate with product and commercial teams to drive adoption and measurable clinical impact.

Ship real open-source integrations and MCP servers to bring SearchApi to agent and automation frameworks. Create PRs, example apps, docs, and integration guides. Stay current with the agent ecosystem, pick high-leverage targets, and work independently to deliver production-ready integrations.

Develop and maintain scalable backend services and APIs, collaborate with frontend developers, and lead new features and infrastructure improvements.

As a Forward Deployed Engineer, you'll develop solutions integrating AI with customer workflows, build data insights, and guide technical adoption in client environments.

The role requires driving AI-driven solutions within customer teams, ensuring adoption of OutSystems capabilities, and delivering intelligent solutions while embedded in complex environments.

Build and scale a full-stack Next.js application tracking PRs, CI health, test parity, and benchmarks across AI accelerator open-source projects. Integrate GitHub APIs and webhooks, design PR/metrics schemas, visualize results, and produce technical digests and reports on cross-accelerator parity and performance trends.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

Own end-to-end Instagram Reels production: ideation, scripting, editing, and delivery. Use AI tools to support ideation and production, test formats, optimize for retention, and stay on top of short-form video trends to grow international audiences.

As an AI Data Expert, review and annotate AI-generated outputs, ensuring cultural relevance and accuracy. Contribute to AI training with original content and detailed feedback while working flexibly as an independent contractor.

Evaluate, annotate, and perform quality checks on multimodal AI-generated content (text, image, audio, video). Identify edge cases, ensure guideline compliance, contribute to dataset creation, participate in calibration and quality alignment, and provide feedback to improve annotation workflows and model training data.

Design and implement backend AI systems centered on LLMs and agentic workflows. Build AI agent orchestration (model/tool calling, multi-step reasoning, state management, error handling), integrate models, RAG, and inference services, optimize for high concurrency (streaming responses, async scheduling, caching, cost control), and collaborate with product, frontend, algorithm, and platform teams to deliver scalable AI capabilities.

Designs and implements AI, automation, and analytics solutions for supply chain. Develops data models, governance, reporting, and advanced analytics; collaborates with process owners to enable data-driven decisions and trains/supports business users.

Lead deployment and scaling of AI/ML models, agentic tools, and automation across R&D. Drive MLOps, platform integration, compliance, stakeholder partnerships, capability building, end-user support, and metrics tracking to deliver measurable value.

Develop AI-powered systems for supply chain workflows. Implement agentic AI features, build backend services, and support testing and validation for AI systems.

The Software Engineer in Test III will develop and execute automated tests, maintain testing tools, analyze defects, and ensure product testability within TraceLink's software solutions.

The Senior Software Engineer in Test builds and executes automated tests, develops testing tools, and collaborates on technical designs while ensuring system testability for the TraceLink platform.