Data Wow Co., Ltd.

AI Engineer

• Embed with enterprise customers to understand their workflows, data environments, and operational constraints — and build AI solutions that fit their reality, not a sanitized sandbox
• Own implementations end-to-end: from scoping and solution design through integration, testing, deployment, and handoff
• Rapidly diagnose technical blockers — messy data, broken integrations, edge cases, legacy system quirks — and solve them yourself without waiting on a queue
• Design, build, and orchestrate multi-step AI agents that automate complex workflows across enterprise systems
• Work with frameworks like LangGraph, LangChain, or similar to architect reliable, production-ready agentic pipelines
• Apply sound judgment about what should be automated vs. what requires human-in-the-loop, and design accordingly
• Continuously tune agent behavior based on real-world usage patterns you observe in the field
• Build custom integrations, connectors, and data pipelines to bridge enterprise tech stacks with AI infrastructure
• Work across the stack — APIs, vector databases, LLM APIs, cloud infrastructure, and front-end surfaces — to deliver complete, working systems
• Write clean, maintainable code that others can build on top of
• Identify patterns across customer engagements that signal genuine product opportunities — and advocate for them with engineering and product teams with precision
• Contribute to building internal tooling and repeatable delivery assets (deployment templates, agent blueprints, evaluation frameworks) that make the next implementation faster
• Optionally: take ownership of building product features or internal tools that emerge from your field insights

AI Engineer – Enterprise Systems

Project Manager

• Collaborate with stakeholders to understand objectives and translate product roadmaps into well-defined requirements and managed backlogs.
• Support Scrum teams in achieving sprint goals, facilitate communication, and assist in coordinating team activities and task assignments.
• Assist in planning product releases and setting clear expectations for the delivery of new features.
• Monitor milestones, track project progress, and report status updates to senior management and stakeholders.
• Identify potential bottlenecks or risks for escalation and support the management of changes within the project scope.
• Gather feedback and ensure alignment across various departments and external stakeholders.
• Assist with specialized project tasks as required by company executives.

AI Engineer – Enterprise Systems

Project Manager – Mid/Senior