16 часов назад
Platform Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Platform Engineer (AI): Building and operating an AI platform with an accent on AI agents, secure gateways, RAG pipelines, and GPU-based LLM serving. Focus on designing production AI workflows, enforcing least-privilege access and data protection, improving retrieval accuracy, and supporting real users after deployment.
Location: Bangkok, Thailand; hybrid work model
Company
is working with an established company building its own AI platform for internal business use.
What you will do
- Develop and maintain AI agents, onboard users, add tools and integrations, resolve issues, and gather feedback.
- Extend the AI Gateway with data sources, OPA policies, retrieval capabilities, and audit logging based on default-deny and least-privilege principles.
- Improve RAG pipelines by ingesting documents, enhancing embedding and retrieval quality, labelling data sensitivity, and measuring answer accuracy.
- Maintain LLM serving with vLLM and Ollama on GPU infrastructure, evaluate models, manage context and memory budgets, and integrate external APIs responsibly.
- Build automated AI workflows for reporting, support, and data analysis from proof of concept through production deployment and post-launch support.
- Document AI tools and train employees to use them correctly and safely while tracking usage metrics.
Requirements
- At least 2 years of programming experience with strong Python skills.
- Comfort working with Linux and command-line tools.
- Fluent written and spoken English required.
- Hands-on experience building LLM applications, including APIs, RAG, agents and tool calling, or fine-tuning, with deep knowledge of at least one area.
- Understanding of LLM fundamentals, AI security, prompt injection, data leakage, and authorization layers for company data.
- Daily experience using AI coding tools such as Claude Code, Codex, or Copilot; ability to learn unfamiliar systems and build on existing code.
Culture & Benefits
- Hybrid work model in Bangkok.
- Attractive remuneration based on skills and experience.
- Hands-on work with GPU servers, production models, and real users.
- Clear growth path toward becoming the lead engineer for the entire AI platform.
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