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AI Appllication Engineer Python/Intergration

Simple Tech Investment · Hồ Chí Minh
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Loại hình
Toàn thời gian
Hình thức
Tại văn phòng
Cấp bậc
Nhân viên
Ngành nghề
Kỹ thuật / Cơ khí
Mức lương
Từ 38tr
Địa điểm
Quận 3, Hồ Chí Minh, Hồ Chí Minh

Tổng quan

  • Architect and implement core platform services (microservices/APIs) for GenAI applications using Python.
  • Build and operate enterprise information retrieval systems leveraging RAG architecture, Vector Search, and Embeddings.
  • Integrate, fine-tune, and manage integration flows with major LLM provider APIs (OpenAI, Claude, etc.).
  • Optimize prompt engineering and establish testing/evaluation workflows for AI output quality.
  • Design data pipelines to power intelligent recommendations, advanced search, and workflow automation.
  • Tweak and optimize backend performance, ensuring scalability, low latency, and high availability.
  • Work closely with the Product team to translate business requirements into feasible technical solutions.
  • Strong proficiency in asynchronous programming, API performance optimization, and relational database queries (PostgreSQL).
  • Solid mindset in system architecture: Caching, Message Queues, Asynchronous Tasks, and High-Availability system design.
  • Hands-on production experience in deploying LLM-powered applications.
  • Deep understanding of Prompt Engineering, model evaluation methodologies (LLM Evaluation), and Embeddings.
  • Excellent command of English across all 4 skills: Reading technical API/AI documentation, discussing technical solutions, and working directly with the team.
  • Familiarity with or experience building systems with Go (Golang) (goroutines, channels, backend services) to optimize or transition ultra-high-performance modules is a big plus.
  • DevOps & Infrastructure: Practical experience with Containerization & Orchestration (Docker, Kubernetes) and CI/CD pipelines.
  • Additional Expertise: Knowledge of Machine Learning algorithms, Recommendation Systems, or Large-scale Natural Language Processing (NLP).
  • Partner with Product Managers and Engineering teams to analyze business requirements, propose solutions, and turn them into optimized technical execution.
  • Proactively research and stay up-to-date with the latest AI/LLM technologies to continuously enhance company products.

Quyền lợi

Chế độ thưởngDu lịchGửi xe

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