Platform Engineer

David Kennedy Recruitment is working with an established company building out its own AI platform that is seeking to onboard a Platform Engineer to join their team.

Position: Platform Engineer

Location: Bangkok, Thailand

Work model: Hybrid

Employment type: full time.

RESPONSIBILITIES:

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Develop and maintain AI agents so employees across departments can use them in real work, including onboarding new users, adding tools/integrations, fixing issues and gathering feedback to iterate

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Continue developing the AI Gateway, adding new data sources, writing and adjusting OPA policies, expanding the retriever and maintaining audit logs, following default-deny and least-privilege principles

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Improve the RAG pipeline by ingesting new documents, improving embedding/retrieval quality, labelling data sensitivity and measuring answer accuracy

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Maintain LLM serving, managing vLLM/Ollama on GPU, evaluating and testing new models, managing context length and memory budgets, and integrating external APIs responsibly (keys, cost, rate limits)

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Build automated AI workflows for business teams (e.g. report summarisation, support assistance, data analysis), taking projects from a proof of concept through to a maintainable production service

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Own work end-to-end - design, build, test, deploy and support after go-live - following the team's tech standard, and track usage metrics for everything shipped to report progress consistently

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Write documentation and train employees to use AI tools correctly and safely

REQUIREMENTS

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2+ years of programming experience with strong Python skills (the company's systems are primarily Python-based) and comfortable working on Linux/command line

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Fluent in English both verbal and written

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Hands-on experience building real things with LLMs (beyond using ChatGPT), such as calling APIs, building RAG, building agents/tool calling, or fine-tuning, with deep understanding of at least one of these

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Solid understanding of LLM fundamentals: tokens, context windows, embeddings, prompt engineering, hallucination and mitigation strategies

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Understanding of AI security, including prompt injection, data leakage, and why an authorisation layer between AI and company data is necessary

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Experience using AI coding tools (Claude Code, Codex, Copilot, etc) as part of daily workflow

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Fast learner, comfortable working with unfamiliar systems, and able to read others' code/documentation and build on it

OFFER

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Hybrid model

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Attractive remuneration, based on skill set and experience

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Hands-on work with real GPU servers, real models and real users

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Clear growth path towards becoming lead engineer of the company's entire AI platform

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And many more!