Role Overview
AI Solutions Engineer at dtcpay – a MAS‑licensed payment service provider bridging traditional finance and digital assets. You will build intelligent applications using large language models (OpenAI, Claude, Gemini, etc.), designing smart agents, retrieval‑augmented generation (RAG) systems, and automation assistants that integrate seamlessly into real‑world business platforms.
Responsibilities
- AI Application Design & Development – build intelligent apps based on LLM APIs (agent workflows, Q&A, report generation, automation assistants).
- Prompt & Dialogue Management – write and optimize prompts, manage multi‑turn conversations, ensure model responses are stable and business‑relevant.
- Agent Framework Practice – use LangChain, LlamaIndex, Haystack to construct complex task flows (tool / API calls, knowledge base retrieval, task orchestration).
- Knowledge Base & RAG – design and implement vector‑database RAG (text chunking, embedding management, recall optimization).
- Engineering & Integration – package AI model capabilities into reusable APIs / services, integrate into front‑end / back‑end systems, ensure performance, scalability, fault tolerance.
- Application Optimization & Iteration – monitor model performance (accuracy, response time, cost) and continuously optimize.
- Cross‑Team Collaboration – work closely with product, design, and business teams to drive real‑world adoption of AI capabilities.
Qualifications
5+ years of development experience, with at least 2 years in AI application deployment.Ability to independently design end‑to‑end AI solutions, including agent workflows, knowledge base construction, and model optimization.Familiarity with multiple agent frameworks, evaluate and select the best approach for specific business scenarios.Experience with complex use cases (cross‑system integrations, multi‑agent collaboration, compliance in finance / government sectors).Deep practical knowledge of prompt strategies, context memory, and RAG architecture optimization.Strong architectural design skills – productize AI applications (service‑oriented, modular, multi‑tenant) with stability, monitoring, cost control.Team collaboration and leadership skills – mentor mid‑level developers, lead projects to completion.Proficiency in both English and Mandarin – work closely with Chinese vendors.The role is based fully onsite, requiring presence in the office.Location
Federal Territory of Kuala Lumpur, Malaysia – fully onsite, full‑time.
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