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Mô Tả Công Việc
1. Senior AI EngineerLead development of Agentic pipelines for creative assets generation (images, videos, text)Design, build, operate and maintain RAG systems Define technical architecture, make key design decisions, and set engineering standardsDesign and manage the knowledge base supporting AI systems.Design evaluation pipeline to ensure performance and quality.Collaborate with product and business teams to translate requirements into technical solutions2.Intermediate AI EngineerBuild and maintain ecommerce chatbot features and conversation flowsImplement agentic pipelines for automated creative generationIntegrate LLMs with internal systems and external APIsWrite tests, documentation, and support production deploymentsContinuously improve model performance based on user feedback and metrics
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Yêu Cầu Công Việc
Essential Qualifications & SkillsBachelor's degree in Computer Science or a related field.5+ years in software engineering, 3+ years focused on ML/AI systemsStrong Python proficiency; experience with LLM frameworks (LangChain, LlamaIndex, or similar)Hands-on experience deploying LLM-based applications to productionFamiliarity with image/video generation models (Stable Diffusion, DALL-E, Runway, etc.)Solid understanding of prompt engineering, fine-tuning, and evaluation techniquesExpertise in designing RAG systems, Agentic pipeline and managing the underlying knowledge base.Expertise in MCP designing for standardized tool integration and inter-agent communicationExperience with ecommerce or conversational AI productsLanguage: Professional English proficiency (written and spoken)Preferred (Not Required)Experience with hosting, managing and fine-tuning in-house LLM modelsBackground in multi-modal AI systemsExperience with data visualization tools, such as AWS QuickSight or Grafana.Familiarity with the Agile toolset, such as GitLab, Jira, Confluence, and Slack.
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Hình thức
Full-time
Quyền Lợi
Competitive Compensation: Base salary plus performance bonusesMassive AI Playground: Billions of daily events across text, clickstream, images, and payments ready for experimentation.Rapid Career Growth: Clear promotion pathways, GPU credits for side projects, conference budget, and mentorship from senior ML leaders.High-Impact Shipping: Your models serve live traffic, influence eight-digit revenue decisions, and feature in company-wide OKRs.Ownership Culture: You own your code, experiments, and roadmap and have every opportunity to showcase your capabilities.
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