← Zeya Labs AI
Forward Deployed Engineer Cloud, AWS, Azure
Zeya Labs AI · Hồ Chí Minh
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Loại hình
Toàn thời gian
Hình thức
Tại văn phòng
Cấp bậc
Nhân viên
Ngành nghề
Kỹ thuật / Cơ khí
Mức lương
Thương lượng
Địa điểm
Not Available, Hồ Chí Minh, Hồ Chí Minh
Tổng quan
- AI Product and Design
- Break down ambiguous operational problems into structured requirements
- Identify high-impact opportunities for AI automation and augmentation
- Rapidly validate ideas through prototyping and iteration
- Work closely with engineering to ensure requirements are executable
- Define clear acceptance criteria, edge cases, and success metrics
- Bridge operational needs with technical implementation realities
- Identify manual workflows that can be automated or AI-augmented
- Continuously propose system improvements as tools and models evolve
- Own the full build lifecycle prototype in the AI Lab, productionize it through internal transformation, and maintain solutions post-deployment with support from engineering and platform teams.
- Be an active member of the AI Lab, contributing demos and reusable assets and helping build a strong builder community across the firm
- What We Are Looking For
- AI platforms and model APIs (e.g., OpenAI, Anthropic, Azure OpenAI, or equivalent)
- Workflow orchestration and automation tools (e.g., n8n, Zapier, Make, or similar)
- API-based system integration and SaaS ecosystems
- Cloud platforms (AWS, Azure, or GCP) and basic infrastructure concepts
- Identity and access management (IAM) and enterprise access control principles
- Product analytics and operational tracking tools
- Documentation and collaboration tools (e.g., Notion, Confluence, Jira)
- Strong understanding of how AI systems interact with business workflows, data pipelines, and operational processes is highly valued.
- You Will Work Across
- AI agents and multi-step autonomous workflows
- RAG systems over messy, real-world data (e.g., planning documents, regulations, reports)
- Decision intelligence systems and spatial AI applications for real estate and operational use cases
- Full-stack product development with engineering and delivery team (frontend interaction design, backend systems, and API integration)
- Rapid prototyping of new ideas, tools, and internal systems
- Any component required to move the product forward in each given cycle
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