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AI Engineer (Remote)

Remote

MÔ TẢ CÔNG VIỆC

    - Design, develop, and deploy production-grade AI solutions using LLMs, RAG, and AI agent frameworks.
    - Build and maintain MLOps pipelines with CI/CD, monitoring, and observability for AI applications.
    - Implement responsible AI practices, including model evaluation, safety guardrails, and secure deployment.
    - Collaborate with cross-functional teams to deliver scalable and reliable AI solutions that drive business value.

QUYỀN LỢI

    - Competitive salary package of up to 37,000,000 VND per month, based on skills and experience.
    - Referral bonus from 1,000,000 to 10,000,000 VND for successfully introducing qualified candidates to join the company.
    - Opportunity to work on large-scale and advanced systems, solving complex technical challenges while continuously enhancing your technical expertise.
    - High potential to become a key contributor within projects, with clear career paths toward Team Leader, Technical Leader, or Project Manager roles.
    - Participate in various employee engagement activities, including online gaming tournaments, team-building events, and project celebrations.
    - Performance-based promotion and salary review opportunities, recognizing individual contributions and achievements.
    - Chance to work on ambitious international projects, explore cutting-edge technologies, and collaborate with highly skilled professionals.
    - Access to professional development programs and technical training courses, including AWS, Microservices, English, Japanese, and other in-demand skills.

YÊU CẦU

    - 5+ years of experience in AI/ML engineering with strong expertise in Python, MLOps, LLMOps, AI orchestration, and Azure AI services (Azure OpenAI, Azure AI Foundry).
    - Proven experience building and productionizing AI agents or RAG applications, including end-to-end AI deployment pipelines with monitoring and data-isolation guardrails.
    - Hands-on experience with CI/CD, model evaluation, observability, and responsible AI practices in enterprise environments.
    - Fluent English communication skills (both written and spoken) with the ability to work effectively in an international environment. Microsoft AI-102 or AZ-400 certification is preferred (DP-100 is a plus).

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