Data Wow Co., Ltd.

AI Engineer

• Define and drive the overall AI engineering strategy, architecture standards, and best practices
• Build, mentor, and lead a team of AI engineers across multiple projects
• Establish scalable delivery processes, code standards, and quality benchmarks
• Create a strong engineering culture focused on ownership, speed, and impact
• Oversee end-to-end delivery of AI solutions across enterprise clients
• Ensure teams deliver from discovery → design → deployment → adoption successfully
• Act as escalation point for complex technical or delivery challenges
• Work closely with customers and stakeholders to ensure solutions align with real business needs
• Define architecture patterns for multi-agent systems, orchestration, and AI workflows
• Guide teams in building reliable, production-ready agentic systems (LangChain, LangGraph, etc.)
• Ensure best practices in:
• - LLM orchestration
• - RAG pipelines
• - evaluation & monitoring
• - human-in-the-loop design
• Stay at the forefront of AI advancements (LLMs, agents, infra) and translate them into practical use cases
• Evaluate tools, frameworks, and infrastructure to standardize across teams
• Drive internal innovation — reusable frameworks, templates, and tooling
• Identify patterns across enterprise projects and translate them into product opportunities
• Partner with Product and Engineering leaders to influence roadmap
• Drive development of internal platforms, reusable assets, and accelerators
• Define KPIs for delivery success (adoption, performance, ROI)
• Ensure systems are scalable, observable, and maintainable
• Improve delivery speed through reusable components and standardized workflows

Head of AI Engineering

Data Engineer

• Creating, maintaining, optimizing various data pipelines
• Work with data ingestion tools
• Optimize data warehouse utilization
• Create proof of concept products that integrate with machine learning models
• Researching new ways to improve existing architecture

People Operations

• Own end-to-end recruitment for tech, data, and business roles
• Partner with hiring managers to understand technical requirements and team needs
• Improve hiring processes, employer branding, and candidate experience
• Support performance management and feedback processes
• Partner with leaders/Supervisors to support career paths and capability development
• Promote company culture, engagement, and internal communication
• Lead and support HR-related projects (process improvement, systems)
• Support HR initiatives that scale with company growth
• Oversee basic office operations and employee experience support

Head of AI Engineering

Data Engineer

People & Talent Partner