Tech Lead Python chịu trách nhiệm kiến trúc và phát triển nền tảng AI Assistant SaaS đa tenant tích hợp ERP, tài chính, kế toán.
Yêu cầu
5+ năm phát triển phần mềm, 2+ năm vai trò lead/senior
Chuyên sâu Python
Kinh nghiệm cloud AWS/GCP/Azure
Tích hợp AI/ML: LLM API (OpenAI, Anthropic), vector DB (Pinecone, Milvus, Weaviate)
Message broker (Kafka, RabbitMQ), real-time protocol (WebSocket, STOMP), Docker, Kubernetes, CI/CD hiện đại
Trách nhiệm
Định hướng kiến trúc nền tảng SaaS đa tenant bao gồm module ERP, tài chính, kế toán
Đảm bảo tính toàn vẹn, kiểm toán và tuân thủ dữ liệu tài chính qua quy trình billing, invoicing, accounting
Lãnh đạo đội ngũ xây dựng hạ tầng AI khả thi, an toàn, tích hợp LLM, vector DB, workflow automation
Thiết kế và triển khai CI/CD, containerization, message broker, real-time communication cho sản phẩm
Có thì tốt
Kinh nghiệm billing, invoicing, payment, fintech, accounting software
ERP platforms/frameworks (SAP, Oracle NetSuite, Odoo, MISA, Microsoft Dynamics) hoặc custom ERP modules
Event-driven architecture, CQRS/Event Sourcing cho hệ thống giao dịch tài chính
Tóm tắt bằng AI từ JD gốc, đọc JD gốc trước khi ứng tuyển.
Mô tả công việc
Overview
We are seeking an experienced and visionary Tech Lead to take technical ownership of our AI Assistant Platform — a core product integrating cutting-edge Large Language Models (LLMs), workflow automation, and multi-channel communication (web, mobile, API). Your mission is to design and lead the development of a scalable, intelligent, and secure AI infrastructure that empowers businesses with personalized automation and conversational intelligence.
Job Summary:
Define and drive the architecture of multi-tenant SaaS platform covering ERP, finance, and accounting modules.
Ensure financial data integrity, audibility, and compliance across billing, invoicing, and accounting workflows.
Yêu cầu công việc
Required Qualifications
Bachelor’s or Master’s degree in Computer Science or related field.
5+ years of professional software development experience, with 2+ years in a lead or senior engineering role.
Proven expertise in Python
Experience with cloud platforms (AWS, GCP, or Azure).
Familiarity with AI/ML integrations, including LLM APIs (OpenAI, Anthropic, etc.) and vector databases (Pinecone, Milvus, Weaviate).
Strong understanding of message brokers (Kafka, RabbitMQ) and real-time communication protocols (WebSocket, STOMP).
Proficiency in containerization (Docker, Kubernetes) and modern CI/CD pipelines.
Excellent leadership, problem-solving, and communication skills.
Solid understanding of ERP systems, experience designing or building ERP-grade systems with complex business workflows, approval flows, and role-based access control.
Proven experience building and scaling SaaS products, including multi-tenant architecture, tenant data isolation, and subscription/licensing management
Nice to Have
Prior experience working on billing, invoicing, payment, fintech, or accounting software products.
Experience with ERP platforms or frameworks (e.g., SAP, Oracle NetSuite, Odoo, MISA, Microsoft Dynamics) or building custom ERP modules.\Experience with event-driven architecture, CQRS/Event Sourcing for financial transaction systems.
Experience with data warehousing and reporting/BI tools for financial dashboards.
Relevant certifications (AWS/Azure/GCP Solutions Architect, CPA/ACCA knowledge is a plus).
Experience building multi-tenant SaaS or AI-driven products.
Familiarity with AI orchestration frameworks (LangChain, Semantic Kernel, etc.) and prompt engineering.
Knowledge of data governance, security, and compliance for AI systems.
Previous experience working with RAG-based architectures or AI workflow orchestration.
