全职 AI Engineer - Python,LLM,Vectoe-RAG-Rest API 工作, 薪水, RAPSYS TECHNOLOGIES PTE LTD Federal Territory 公司招聘中 - Ricebowl

We're Hiring: AI Engineer!

We are looking for a talented and innovative AI Engineer to join our dynamic team in Kuala Lumpur. The ideal candidate will possess a strong foundation in artificial intelligence, machine learning, and data analytics, with a passion for developing cutting-edge solutions that drive business success.

Location: Kuala Lumpur, Malaysia
Work Mode: Work from Office
Role: AI Engineer

What You'll Do:

•      Implement individual agents and sub-agents within the ADK framework — including intent routing agents, FAQ agents, transactional agents, and escalation agents.

•      Write, test, and iterate on system prompts templates for each market use case.

•      Build tool-use integrations connecting agents to external APIs: knowledge bases, MCP lookup, booking systems, and notification services.

•      Run offline and online evaluation experiments using standard chatbot metrics (intent accuracy, task completion, CSAT) and document findings.

•      Participate actively in code reviews; implement feedback from Senior AI Engineers/AI Lead promptly.

•      Maintain vector database collections: chunking strategies, embedding models, indexing pipelines, and retrieval evaluation.

•      Support AI Translators in localizing prompts and agent responses for each market language — providing technical input on character limits, tokenization quirks, and language-model behaviour.

•      Reproduce, document, and escalate production bugs related to agent behaviour, model hallucinations, and tool failures.

•      Keep implementation documentation up to date: agent flow diagrams, prompt registries, and test result logs.

•      5+ years of AI/ML engineering experience; at least 2 year building or integrating conversational AI or LLM-based products.

•      Demonstrable hands-on experience with Google Cloud AI stack

•      Solid understanding of transformer models, tokenisation, context windows, and prompt sensitivity.

•      Familiarity with agentic patterns: ReAct, plan-and-execute, reflection loops, and multi-agent handoff protocols.

•      Comfortable working in an agile sprint environment with clearly defined tickets and daily standups.

•      Basic understanding of responsible AI and data privacy considerations — knowing when to flag concerns to seniors.

Ready to shape the future of technology? Apply now and join us on this exciting journey!