About this role
<h4> </h4> <h2><b>GROUP</b></h2> <p> </p> <p>Founded in 1895, Jebsen is a privately-held marketing, distribution and investment organisation established in Greater China. It partners with leading brand companies to bring a wide array of quality products to Greater China while driving success for its people and business partners, protecting the environment and serving the communities in which it operates.</p> <p> </p> <p> </p> <div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:20.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Purpose of the Job</b></H2> </div><div><p>The Associate AI Engineer is a hands-on technical role supporting the AI Engineer in embedding artificial intelligence, advanced analytics, and automation as practical value-creation levers across the investment lifecycle and portfolio of JCAP. This role focuses on executing, building, and operationalising production-ready AI components aligned with both investment objectives and Group IT security and governance standards.</p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:20.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Responsibilities</b></H2> </div><div><p><em><strong>The key objectives of this role include:</strong></em><br>• Supporting the AI Engineer in translating investment and operational hypotheses into working AI solutions.<br>• Executing hands-on development, testing, and deployment of AI/GenAI use cases across portfolio companies.<br>• Contributing to reusable AI capabilities, playbooks, and documentation across the JCAP team.<br>• Acting as a technical contributor between JCAP and other Group IT technical teams on AI delivery.</p> <p><em><strong>1. Investment Lifecycle Support</strong></em><br>• Assist in translating investment theses, due diligence questions, and value-creation plans into AI-enabled use cases.<br>• Support pre-investment activities including market intelligence, consumer analytics, and document analysis.<br>• Prepare data-driven outputs and dashboards to support board-level and management discussions.</p> <p><em><strong>2. AI Solution Design, Build & Deployment</strong></em><br>• Develop and prototype GenAI-powered applications using LLMs (open & proprietary) under the direction of the AI Engineer.<br>• Implement agent-based components using Claude, Gemini, MS Copilot etc. for multi-agent, human-in-the-loop or autonomous tasks.<br>• Build and maintain RAG pipelines, vector database indices, and hybrid retrieval components.<br>• Integrate AI systems with investment platforms via APIs and workflows (e.g., Bloomberg Terminal, Enfusion).<br>• Support the full AI delivery lifecycle from use-case definition to deployment and continuous improvement.<br>• Ensure AI solutions are robust, explainable, and embedded into real business workflows.</p> <p><em><strong>3. Reusable Platforms & Playbooks</strong></em><br>• Contribute to the development of reusable AI components, libraries, and reference architectures.<br>• Maintain and update implementation playbooks, code repositories, and technical documentation.<br>• Capture best practices and lessons learned from each engagement for future reuse.</p> <p><em><strong>4. Technology Governance & Group IT Alignment</strong></em><br>• Ensure AI solutions comply with Group IT architecture, cybersecurity, and data governance standards.<br>• Contribute to Group-wide AI governance, standards, and tooling.</p> <p><em><strong>5. Stakeholder Communication & Change Enablement</strong></em><br>• Translate technical outputs into business-relevant insights, dashboards, and demos for JCAP stakeholders.<br>• Support adoption and change management through user training and hands-on enablement.<br>• Communicate progress, risks, and blockers proactively to the AI Engineer.</p> <p><strong><em>6. Operational Support & Continuous Improvement</em></strong><br>• Monitor deployed AI solutions for performance, cost, reliability, and quality; triage and resolve issues in collaboration with the AI Engineer.<br>• Support model evaluation, prompt tuning, regression testing, and continuous improvement activities.<br>• Assist in managing token usage, cost transparency, and platform hygiene on JCAP AI infrastructure.<br>• In addition to JCAP-related AI initiatives, support other Group-wide AI initiatives where needed, providing hands-on technical capacity across Group IT and business unit AI projects.</p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:20.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Requirements</b></H2> </div><div><p>• Bachelor's degree in Computer Science, Engineering, Data Science, Finance, or related discipline.<br>• 2-4 years of experience in AI software engineering, or data-driven product development.<br>• Hands-on experience in vibing coding alongside with frontend & backend development, local deployment concepts<br>• Practical exposure to APIs adoption or other data pipelines.<br>• Practical exposure to building or contributing to LLM-based / GenAI applications.<br>• Practical exposure to Agentic AI, Model Context Protocol (MCP) and Retrieval-Augmented Generation (RAG)<br>• Solid software engineering fundamentals including Git, code review, testing, and CI/CD.</p> <p><em><strong>Preferred Experience</strong></em><br>• Exposure to trading workflow, risk & operations, financing, or multi-business group environments.<br>• Familiarity with investment management tools such as Bloomberg Terminal and Enfusion or other OMS, PMS.<br>• Experience working with cloud platforms (AWS, Microsoft)<br>• Experience with vibe coding tools like Claude, Codex, Cursor, etc<br>• Understanding of responsible AI principles - bias, hallucination mitigation, PII/data privacy, prompt injection defence.<br>• Experience collaborating with external technical vendors on AI delivery.</p></div></div></div><h4> </h4> <p> </p> <h2><b>SUCCESS BREEDS SUCCESS.</b></h2> <h4> </h4> <p>With over 100 years of history, Jebsen’s success has been made possible through our commitment to our partners, to our communities, and to our most valuable asset — our people.</p> <p> </p> <p>We offer dedicated and talented individuals the opportunity to engage with a family of premium global brands. Employees who pursue excellence are given a diverse platform that provides continuous development and career exposure.</p> <p> </p> <p>At Jebsen, success breeds success.</p>