jobs in RAPSYS TECHNOLOGIES PTE LTD

Kerja Sepenuh Masa, AI Engineer - Python,LLM,Vectoe-RAG-Rest API di RAPSYS TECHNOLOGIES PTE LTD Federal Territory - Maukerja

AI Engineer - Python,LLM,Vectoe-RAG-Rest API

RAPSYS TECHNOLOGIES PTE LTD

Undisclosed

KL City, Federal Territory

Kongsi
Simpan

Lokasi Kerja

  • Kuala Lumpur Federal Territory Malaysia

Penerangan Kerja

Tanggungjawab

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:

Core Responsibilities

      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.

Key Qualifications

      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!

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