← Zeya Labs AI
Senior AI Native Engineer Python, SQL, LLM, AWS
Zeya Labs AI · Hồ Chí Minh
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Type
Full-time
Work mode
On-site
Level
Staff
Industry
Engineering / Mechanical
Salary
Thương lượng
Location
Not Available, Hồ Chí Minh, Hồ Chí Minh
Overview
- Lead the end-to-end design and development of AI-native products, including agents, workflows, and intelligent systems built on modern cloud architectures
- Own and implement AI-driven pipelines and workflows, ensuring reliability, scalability, reusability, and production readiness
- Design system architectures for AI applications, including agent frameworks, RAG pipelines, and multi-step reasoning workflows
- Collaborate closely with engineers, data scientists, and stakeholders to deliver AI-powered features, decision systems, and automation solutions.
- Oversee integration of structured and unstructured data sources, ensuring strong governance, reliability, and system integrity
- Establish best practices around code quality, testing, documentation, and CI/CD for AI systems and workflows
- Contribute to development of AI agents and intelligent services leveraging real-time data, APIs, and vector-based retrieval systems
- Optimize system performance, latency, cost, and scalability across AI pipelines and infrastructure layers
- Work directly with global stakeholders, gathering requirements and translating them into scalable AI product solutions
- Mentor junior builders and contribute to a strong engineering and AI product culture
- 5+ years of experience in software engineering, AI product development, or data-driven system engineering
- Demonstrated experience designing and delivering production AI systems, including agents, automation pipelines, or intelligent workflows
- Strong foundation in AI system architecture, including LLM integration, retrieval-augmented generation (RAG), and workflow orchestration
- Advanced proficiency in Python and SQL for developing reliable, scalable AI-enabled systems
- Hands-on experience with major cloud platforms (AWS, Azure, or GCP) in production environments
- Experience integrating APIs and building service-oriented or event-driven architectures
- Strong knowledge of data engineering concepts, including handling structured and unstructured data at scale
- Excellent communication skills in English, capable of working with different teams and senior stakeholders
- Proven leadership ability with strong problem-solving skills and full lifecycle ownership of technical initiatives
- 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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