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MÔ TẢ CÔNG VIỆC
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- Design, develop, and optimize scalable, AI-powered backend systems using Python (FastAPI, Flask, Django).
- Build and maintain APIs that integrate LLMs (GPT, LLaMA), vision models, and RAG frameworks into enterprise applications.
- Develop and optimize front-end applications using React, TypeScript, and modern UI frameworks.
- Deploy AI-driven services on cloud (Azure, AWS, GCP) and on-prem environments, ensuring security and compliance.
- Work with vector databases (FAISS, Pinecone, Weaviate) and structured/unstructured data storage solutions.
- Implement CI/CD pipelines, DevOps, and MLOps best practices for scalable and reliable AI deployments.
- Ensure system performance, security, and compliance, including RBAC, OAuth2, and API security.
• Collaborate with data scientists and product teams to turn research models into real-world applications.
QUYỀN LỢI
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- An attractive income level of up to 33,000,000 VNĐ.
- Bonus: 1~10 million anyone for referring acquaintances and friends to the company.
- Working in a large and modern system, having the opportunity to enhance comprehensive technical skills.
- Become a Key Person of Project Influence, a Leader as well as a Project Manager.
- Participate in staff engagement activities such as Game Online (Half-Life, AOE, Dota2, LOL, Pubg...), Team Building,
- Having many opportunities to promote based on personal ability and range of salary.
- Accessing to various projects and the latest technology.
- Taking part in many courses such as AWS, Microservice, English, Japanese...
YÊU CẦU
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- 8+ years of experience in software engineering, focusing on backend, API development, and AI/ML integration.
- Proficiency in Python (FastAPI, Flask, Django) and React (Next.js, TypeScript, Redux, or similar frameworks).
- Strong knowledge of microservices, event-driven architectures, and RESTful/GraphQL APIs.
- Hands-on experience deploying AI/ML models (LLMs, RAG, Vision AI) in production environments.
- Experience with containerization (Docker, Kubernetes) and cloud deployment (Azure, AWS, GCP).
- Familiarity with data processing pipelines (ETL, batch & streaming systems).
- Strong understanding of security best practices in API development and AI-driven systems.
- Ability to optimize and scale AI-powered applications for high performance and reliability.
- English fluent.
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