Platform Engineer

Platform Engineer We are working with an established company that is building and expanding its own AI platform and is looking for a talented Platform Engineer to join the team in Bangkok.

This is a hands-on opportunity for an engineer who wants to work with LLMs, RAG, AI agents, GPU infrastructure and AI security, while helping build production-ready AI solutions used by employees across the business.

Position Platform Engineer

Location: Bangkok, Thailand

Work Model: Hybrid

Employment Type: Full-time

Key Responsibilities

• Develop, maintain and improve AI agents used by employees across different business functions, including onboarding users, integrating new tools, troubleshooting and gathering feedback.
• Continue developing the company's AI Gateway, including adding data sources, implementing OPA policies, improving retrieval capabilities and maintaining audit logs.
• Apply default-deny and least-privilege principles to AI systems and access controls.
• Improve the RAG pipeline by ingesting new documents, enhancing embedding and retrieval quality, classifying data sensitivity and measuring answer accuracy.
• Maintain and optimise LLM serving infrastructure, including vLLM/Ollama running on GPU servers.
• Evaluate and test new AI models while managing context lengths, memory requirements and performance.
• Integrate external AI APIs responsibly, considering API keys, costs, rate limits and security.
• Build automated AI workflows for business teams, such as report summarisation, customer support assistance and data analysis.
• Take AI projects from proof of concept through production, including design, development, testing, deployment and post-launch support.
• Monitor usage and performance metrics for AI solutions and report progress consistently.
• Create technical documentation and train employees to use AI tools effectively and safely.

Requirements

• 2+ years of programming experience, with strong proficiency in Python.
• Comfortable working in Linux and command-line environments.
• Fluent in English, both written and spoken.
• Hands-on experience building real-world applications with LLMs, beyond simply using ChatGPT.
• Practical experience with one or more of the following:
• LLM APIs
• RAG systems
• AI agents and tool calling
• Fine-tuning
• Strong understanding of LLM fundamentals, including tokens, context windows, embeddings, prompt engineering, hallucinations and mitigation techniques.
• Understanding of AI security, including prompt injection, data leakage and the importance of authorisation layers between AI systems and company data.
• Experience using AI-powered coding tools such as Claude Code, Codex, GitHub Copilot or similar as part of your development workflow.
• Strong problem-solving skills and the ability to quickly understand unfamiliar systems, codebases and documentation.
• Comfortable taking ownership of projects from development through deployment and ongoing support.

What We Offer

• Hybrid working model in Bangkok.
• Attractive remuneration based on experience and technical skill set.
• Hands-on experience with GPU infrastructure, real-world AI models and production AI systems.
• The opportunity to work on an AI platform used by real users across the business.
• A clear growth path towards becoming the Lead Engineer responsible for the company's AI platform.
• A highly practical environment where you can experiment, build and see your work move into production.
• And more.

If you're passionate about building practical AI systems and want to work beyond simply integrating existing AI tools, we'd love to hear from you.