Mô Tả Công Việc
Lead the technical design, architecture, and development of the AI Assistant Platform.
Collaborate closely with the Product Owner, AI Engineers, and Frontend/Backend teams to define the technical roadmap.
Ensure scalability, reliability, and high performance across distributed microservices.
Architect and oversee the implementation of APIs, data pipelines, and AI integrations (LLMs, vector databases, RAG pipelines, fine-tuning workflows).
Conduct code reviews and enforce best practices for maintainability, testing, and CI/CD.
Mentor and guide developers, fostering a culture of technical excellence and collaboration.
Translate business and product requirements into robust, production-ready technical solutions.
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Yêu Cầu Công Việc
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 Java (Spring Boot) and microservices architecture.
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.
Nice to Have
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.
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Hình thức
Full-time
Mức lương
Thỏa thuận
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