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:

• 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

• 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

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

• 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)

• 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

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

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

REQUIREMENTS:

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

• Fluent in English both verbal and written

• 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

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

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

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

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

OFFER:

• Hybrid model

• Attractive remuneration based on skill set and experience

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

• Clear growth path towards becoming lead engineer of the companys entire AI platform

• And many more!