Full-Stack Engineer: AI Shopping Personalization

KAISHI PARTNERS PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

KAISHI PARTNERS PTE. LTD. is an early-stage startup in Singapore building a personal shopping agent that personalizes experiences and converts insights into actions. You will work across TypeScript and Python to ship end-to-end experiences that connect conversations, user context, recommendations, and actions.

You will combine full-stack engineering with product judgment, helping decide how the experience should work, shipping it, and iterating based on real use in a hands-on environment.

Qualifications

• Shipping and maintaining complete products across frontend and backend.
• Proficiency in TypeScript and Python.
• Experience with APIs, databases, and external service integrations.
• Ability to turn ambiguous ideas into working products and make trade-offs.
• Hands-on across the full stack.

Responsibilities

• Build end-to-end product journeys across frontend interfaces, backend services, and data.
• Create experiences that explain recommendations and track agent actions.
• Develop APIs, SDKs, and internal interfaces for agent workflows.
• Integrate external services and browser-based workflows with error handling.
• Collaborate with infrastructure and research to add memory and personalization.
• Investigate user problems and iterate on usability, performance, and reliability.

Skills

TypeScript

Python

Frontend & Backend

Product judgment

System thinking

Tools

APIs

Databases

External service integrations

Job description

KAISHI PARTNERS PTE. LTD. is an early-stage startup in Singapore building a personal shopping agent that personalizes experiences and converts insights into actions. You will work across TypeScript and Python to ship end-to-end experiences that connect conversations, user context, recommendations, and actions.

You will combine full-stack engineering with product judgment, helping decide how the experience should work, shipping it, and iterating based on real use in a hands-on environment.