---
title: 'AI Engineer, Virtual Insurance at AIFT'
canonical: 'https://feeny.ai/job/ai-engineer-virtual-insurance-aift-taiwan-5vnrpwjj5twy'
type: 'job'
last_seen: '2026-11-09'
---

# AI Engineer, Virtual Insurance at AIFT

- **Company:** AIFT
- **Location:** Taiwan
- **Posted:** 2026-09-23
- **Last confirmed live:** 2026-11-09
- **Apply:** https://job-boards.greenhouse.io/aift/jobs/6206118004

## Job description

[Job Overview] We are looking for an experienced AI Engineer to join our engineering team and help drive the development and adoption of AI solutions across the organization. We build digital-first products and continuously explore how AI can improve our products, operations, and the way our teams work. You will apply Generative AI and modern AI technologies to real-world business problems, working closely with engineering, product, data, and business teams to turn AI ideas into scalable, production-ready solutions.

[Responsibilities]

- Design, develop, and deploy AI-powered applications and services, with a focus on Generative AI and Large Language Models (LLMs).
- Build AI solutions using techniques such as RAG, prompt engineering, tool/function calling, agents, and structured outputs.
- Integrate LLMs and AI capabilities into existing products, internal platforms, and business workflows.
- Develop and maintain backend services, APIs, and data pipelines required to support AI applications in production.
- Evaluate and experiment with different models, frameworks, and approaches to identify the most effective solution for specific use cases.
- Build evaluation and monitoring mechanisms to continuously improve AI quality, reliability, latency, and cost.
- Work closely with Product, Engineering, Data, and business stakeholders to identify high-impact AI opportunities and translate business needs into technical solutions.
- Prototype new AI ideas quickly, validate their feasibility, and turn successful prototypes into reliable production systems.
- Stay current with developments in Generative AI and proactively explore technologies that can create meaningful business impact.

[Requirements]

- 3+ years of experience in software engineering, machine learning engineering, AI engineering, or a related field.
- Strong programming skills in Python and solid software engineering fundamentals.
- Hands-on experience building applications using LLMs or Generative AI.
- Experience working with commercial or open-source LLMs and related APIs/frameworks.
- Practical understanding of RAG, embeddings, vector databases, prompt engineering, and LLM application architecture.
- Experience designing and developing APIs, backend services, or production-grade applications.
- Familiarity with cloud platforms such as AWS, GCP, or Azure.
- Good understanding of databases, data processing, and system integration.
- Ability to independently explore ambiguous problems, experiment quickly, and turn ideas into working solutions.
- Strong communication and collaboration skills, with the ability to work effectively across technical and non-technical teams.

[Nice to Have]

- Experience building AI agents or agentic workflows, including multi-step reasoning and tool integration.
- Experience with LLM evaluation, observability, guardrails, or AI application monitoring.
- Experience with vector databases or search technologies such as Elasticsearch, OpenSearch, Pinecone, Weaviate, or similar tools.
- Experience with MLOps / LLMOps, model deployment, CI/CD, Docker, or Kubernetes.
- Experience optimizing AI applications for latency, scalability, reliability, and cost.
- Experience with machine learning, NLP, recommendation systems, or other applied AI domains.
- Experience working in fintech, insurtech, financial services, or other regulated industries.
- Experience contributing to AI adoption, automation, or developer productivity initiatives within an organization.

## About AIFT

## Company Overview
- **One-liner**: AIFT (Laboratory for AI-Powered Financial Technologies) is a Hong Kong-based research laboratory and innovation hub that develops AI and data science solutions to transform global financial services.
- **Entity Type**: Private (research lab with spin-off commercialization arm)
- **Headquarters**: Hong Kong Science Park, Shatin, Hong Kong
- **Founded**: Not publicly available
- **Founders**: Co-founded by City University of Hong Kong and Columbia University. Key leadership includes Prof. Houmin Yan (Director), Shi Lei (Deputy Head of Commercialization), and Antony Zhu (Head of Product & Development).

## Core Business
- **Primary industry**: Financial technology (FinTech), AI research & development, blockchain/tokenisation
- **Target customers**: B2B – banks, financial institutions, SMEs, and enterprise clients in the finance sector
- **Mission / purpose**: "Conducting pioneering research, attracting the brightest talents, realizing visionary concepts, and providing the best business solutions for future financial services." [hkaift.com](https://hkaift.com/careers/)

## Products & Services
- **AI-Driven Financial Service**: Research and solution development for AI-powered risk management, investment intelligence, and customer analytics.
- **AI-Enhanced Financial Technology**: Advanced analytics and machine learning models for credit scoring, fraud detection, and regulatory compliance.
- **Social Media Analytics for Financial Technology**: Platforms that mine social media and news data for market sentiment and investment signals.
- **FinSights (Supply Chain Finance)**: A solution showcased at InnoEX 2026 that leverages trusted logistics data to optimize trade finance. [hkaift.com](https://hkaift.com/)
- **Tokenised Deposit Platform**: A joint initiative with JETCO to enable commercial banks to issue and manage tokenised deposits. [hkaift.com](https://hkaift.com/)
- **Tolo Digitech (Spin-off)**: Partnered with fintech firm FUNDel to build a trade finance platform integrating Port Community System data. [hkaift.com](https://hkaift.com/)
- **Portfolio Management System for E-Commerce Loan Securitisation**: A system referenced in AIFT’s portfolio (see About page). [hkaift.com](https://hkaift.com/about-us/)

## Market Standing
- **Valuation / Market Cap**: Not disclosed
- **Key Metric**: Headcount of ~26 employees (as of 2025-2026), with a -17.4% yearly change reported on LinkedIn. [linkedin.com](https://hk.linkedin.com/company/laboratory-for-ai-powered-financial-technologies-limited)
- **Notable Investors / Partners**: JETCO (joint tokenisation platform), FUNDel (trade finance spin-off), Hong Kong Science and Technology Parks (HKSTP), City University of Hong Kong, Columbia University.
- **Growth Signals**: Spin-off company Tolo Digitech launched in 2026; participation in InnoEX 2026; active patent filings (e.g., entity association recommendation, cryptocurrency asset classification). However, headcount declined year-over-year, so growth trajectory appears mixed.

## Competitive Advantages
- **Academic pedigree**: Founded jointly by City University of Hong Kong and Columbia University, giving it deep research capabilities and access to top talent.
- **Ecosystem position**: Located in Hong Kong Science Park, a major R&D hub, and holds strong ties with local banks, regulators, and fintech players.
- **Full-stack FinTech approach**: Combines AI, blockchain, and data science to address both research and commercial deployment (spin-offs, partnerships).
- **Proven commercialization**: Multiple patents granted via Google Patents and live solutions (tokenised deposits, trade finance platform).

## Strategic Focus
- Commercializing research outcomes into market-ready FinTech products.
- Expanding tokenised deposit and digital asset infrastructure for banks.
- Scaling supply chain finance and trade finance solutions via data partnerships (e.g., Port Community System).
- Building a pipeline of spin-off companies to take innovations to market.
- Attracting talent for both research and product development roles (openings listed on [Greenhouse careers page](https://job-boards.greenhouse.io/aift) and internally).

## Why Work Here
- **Mission-driven**: Work at the intersection of AI and finance to solve real-world problems in banking, risk, and trade.
- **Young and growing**: Described as a "young company" with opportunities to get in "on the ground floor" and grow as projects gain momentum. [hkaift.com](https://hkaift.com/careers/)
- **International connections**: Collaborations with top universities and global financial institutions provide a broader perspective.
- **Practical skill development**: Talent training is part of the mission – developers and analysts can build expertise in FinTech ecosystems (Python, Spring Boot, Docker, blockchain, etc.). [hkaift.com](https://hkaift.com/careers/)
- **Vibrant community**: Active member of Hong Kong Science Park, Hong Kong’s largest R&D base, with access to a network of tech companies and events.
- **Work environment**: Office-based in Hong Kong Science Park (Shatin); roles include Software Engineer, Assistant Quantitative Analyst, Data Analyst, and Research Assistant. [hkaift.com](https://hkaift.com/careers/)
- **Culture**: Emphasizes open innovation, cross-boundary collaboration (universities, VCs, financial institutions), and a flat, research-driven atmosphere.

## Sources
1. [hkaift.com (Home Page)](https://hkaift.com/)
2. [hkaift.com (Careers Page)](https://hkaift.com/careers/)
3. [hkaift.com (About Us Page)](https://hkaift.com/about-us/)
4. [LinkedIn Company Profile](https://hk.linkedin.com/company/laboratory-for-ai-powered-financial-technologies-limited)
5. [HKSTP Directory Page](https://www.hkstp.org/en/directory/innohk/laboratory-for-ai-powered-financial-technologies-limited)
6. [Greenhouse Careers Page](https://job-boards.greenhouse.io/aift)

## Other roles at AIFT

- [Senior Finance Analyst](https://feeny.ai/job/senior-finance-analyst-aift-taipei-8rq3zrd6v3fq) — Taipei, Taiwan
- [(Junior / Mid) AI Security Analyst, Vulcan](https://feeny.ai/job/junior-mid-ai-security-analyst-vulcan-aift-taipei-tkj8een519cw) — Taipei, Taiwan / Singapore / Malaysia / United Arab Emirates
- [Senior Cloud Security & Reliability Engineer, Virtual Insurance](https://feeny.ai/job/senior-cloud-security-reliability-engineer-virtual-insurance-aift-taipei-nes9rv43wx40) — Taipei, Taiwan
- [Senior Site Reliability Engineer, Vulcan (AI Security product)](https://feeny.ai/job/senior-site-reliability-engineer-vulcan-ai-security-product-aift-united-arab-b0de7d65vn5x) — United Arab Emirates
- [Chief Technology Officer/ Head of Engineering, Virtual insurance](https://feeny.ai/job/chief-technology-officer-head-of-engineering-virtual-insurance-aift-taipei-hrtn3gfdb8js) — Taipei, Taiwan
- [AI Data Curation Part Time, Vulcan](https://feeny.ai/job/ai-data-curation-part-time-vulcan-aift-taipei-msjqhxnat35h) — Taipei, Taiwan
- [Machine Learning Engineer Lead, Vulcan (Global)](https://feeny.ai/job/machine-learning-engineer-lead-vulcan-global-aift-taipei-40dxp5392ey1) — Taipei, Taiwan / Hong Kong / Singapore / Japan / Abu Dhabi, United Arab Emirates
- [AI Data Curation Intern, Vulcan](https://feeny.ai/job/ai-data-curation-intern-vulcan-aift-taipei-sybdtp091zvn) — Taipei, Taiwan
- [Senior Data Engineer, Virtual Insurance](https://feeny.ai/job/senior-data-engineer-virtual-insurance-aift-taiwan-9pk8mdxwbrcd) — Taiwan
- [Merchandising Manager, Partnership(Virtual Insurance)](https://feeny.ai/job/merchandising-manager-partnership-virtual-insurance-aift-taiwan-nvtsfgnz4814) — Taiwan