dtcpay is a MAS licensed payment service provider that bridges traditional finance and digital assets. We enable businesses to accept and make payments in both fiat and digital currencies, delivering secure, efficient, and seamless payment experiences across borders. As we expand globally, we are shaping the future of digital payments.

We are also recognised as one of Singapore’s Top 10 Startups in the LinkedIn Top Startups 2025 list, a reflection of our momentum and the exciting journey ahead for our team.

Join us as an AI Solutions Engineer and play a key role in shaping the future of intelligent applications. You will work with the latest large language models to build innovative solutions such as smart agents, retrieval-augmented generation (RAG) systems, and automation assistants, while integrating AI seamlessly into real-world business platforms. This is a chance to be hands-on with cutting-edge technologies, collaborate across teams, and bring impactful AI capabilities from concept to production.

What You'll Do:

• AI Application Design & Development: Build intelligent applications based on large model APIs (e.g., OpenAI, Claude, Gemini, and other LLMs), such as Agent workflows, intelligent Q&A, report generation, and automation assistants.
• Prompt & Dialogue Management: Write and optimize prompts, manage multi-turn conversations, and ensure model responses are stable and business-relevant.
• Agent Framework Practice: Use frameworks such as LangChain, LlamaIndex, and Haystack to construct complex task flows (e.g., external tool/API calls, knowledge base retrieval, task orchestration).
• Knowledge Base & RAG: Design and implement retrieval-augmented generation (RAG) based on vector databases, including text chunking, embedding management, and recall optimization.
• Engineering & Integration: Package AI model capabilities into reusable APIs/services, integrate them into front-end and back-end business systems, and ensure performance, scalability, and 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.

What We're Looking For:

• 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, with the ability to evaluate and select the best approach for specific business scenarios.
• Experience with complex use cases (e.g., 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: able to productize AI applications (service-oriented, modular, multi-tenant), while ensuring stability, monitoring, and cost control.
• Team collaboration and leadership skills, with the ability to mentor mid-level developers and lead projects to completion.
• Proficiency in both English and Mandarin as you will need to work closely with Chinese vendors.
• The role is based fully onsite, requiring your presence in the office.