This role involves designing and optimizing LLM pipelines, including retrieval and grounding, and developing RAG systems using vector databases. The engineer will build agentic workflows and function-calling systems, evaluate model performance, and diagnose failure modes like hallucinations. Responsibilities also include preparing unstructured documents for ingestion, maintaining backend components, and supporting deployment across cloud or on-prem infrastructure. Candidates must translate ambiguous requirements into structured tasks and ensure AI features are grounded and reproducible. The position requires a Bachelor's degree in a relevant field and 1-3 years of experience in data, AI, or software roles. Proficiency in Python, SQL, and at least one BI tool is required. Candidates must have hands-on experience with LLM APIs and the ability to communicate clearly in Thai with working proficiency in English.
ค้นหาและสำรวจตำแหน่งงาน
2 งานที่พบ
ไม่ระบุเงินเดือน
Bangkok, Thailandfull-time
3 ต.ค. 2569ดูรายละเอียดเพิ่มเติม
ไม่ระบุเงินเดือน
BangkokNot specified
This role involves architecting and leading the deployment of AI-based applications and large language models (LLMs) across operational workflows. The specialist manages the full lifecycle of AI model integration, wrapping machine learning models into scalable APIs and integrating them into full-stack production systems. Responsibilities include designing automated CI/CD pipelines, managing infrastructure using Linux and containerization (Docker, Kubernetes), and implementing telemetry to monitor model performance and optimize systems to meet SLAs. The position requires collaborating with Data Scientists to transition models into production-ready code and with product teams to identify AI integration opportunities.
25 ก.ย. 2569ดูรายละเอียดเพิ่มเติม