Backend Engineer (AI Application) - TikTok Local Service (Singapore)
Aug 1, 2025 Singapore
About us
TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.
- Size: 10,000+ employees
- Industry: Technology: Consumer Internet
Why you should apply for a job to TikTok:
4.5/5 in overall job satisfaction
4.5/5 in supportive management
100% say women are treated fairly and equally to men
100% would recommend this company to other women
100% say the CEO supports gender diversity
Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›
Responsibilities
About the Team
TikTok Local Service is on a mission to empower local merchants, creators, and users by making local experiences more accessible, enjoyable, and intelligent. Our team focuses on leveraging cutting-edge AI technologies to improve user conversion, enhance creator/merchant operations, and enable new forms of smart digital interaction across the local services ecosystem.
You will join an AI Application team that is at the forefront of integrating LLMs and intelligent agents into real-world scenarios such as:
- Smart content generation for creators
- Personalized shopping assistants
- Automated merchant support
- AI-powered analytics for storefront operations
We are building fast, experimenting boldly, and growing rapidly - and we are looking for strong backend engineers to help us build scalable and intelligent platforms that support millions of users and thousands of merchants.
Responsibilities
- Design and develop robust, scalable, and high-performance backend systems for AI-driven products in the local service domain.
- Collaborate closely with product managers, and frontend developers to bring intelligent features into production.
- Build APIs, data pipelines, and microservices to support content generation, and operation tools for creators and merchants.
- Optimize systems for reliability, latency, and cost efficiency in a high-traffic environment.
- Participate in system architecture design and tech planning discussions; drive best practices for code quality and engineering excellence.
Qualifications
Minimum Qualifications
- Bachelor's or higher degree in Computer Science, Software Engineering, or related fields.
- Solid programming skills in Go, Java, or Python, and familiarity with microservice architecture.
- Experience with large-scale backend development and cloud-native systems (Kubernetes, Docker, etc.).
- Familiarity with relational and non-relational databases (e.g., MySQL, Redis, MongoDB).
- Good understanding of data structures, algorithms, and distributed systems.
- Strong communication skills and ability to work in cross-functional, international teams.
Preferred Qualifications
- Experience in AI-related backend infrastructure, such as feature serving, vector retrieval, or LLM service integration.
- Familiarity with content platforms, or local commerce ecosystems.
- Experience working with business-side teams (merchants, creators) and understanding of user/product feedback loops.
About the Team
TikTok Local Service is on a mission to empower local merchants, creators, and users by making local experiences more accessible, enjoyable, and intelligent. Our team focuses on leveraging cutting-edge AI technologies to improve user conversion, enhance creator/merchant operations, and enable new forms of smart digital interaction across the local services ecosystem.
You will join an AI Application team that is at the forefront of integrating LLMs and intelligent agents into real-world scenarios such as:
- Smart content generation for creators
- Personalized shopping assistants
- Automated merchant support
- AI-powered analytics for storefront operations
We are building fast, experimenting boldly, and growing rapidly - and we are looking for strong backend engineers to help us build scalable and intelligent platforms that support millions of users and thousands of merchants.
Responsibilities
- Design and develop robust, scalable, and high-performance backend systems for AI-driven products in the local service domain.
- Collaborate closely with product managers, and frontend developers to bring intelligent features into production.
- Build APIs, data pipelines, and microservices to support content generation, and operation tools for creators and merchants.
- Optimize systems for reliability, latency, and cost efficiency in a high-traffic environment.
- Participate in system architecture design and tech planning discussions; drive best practices for code quality and engineering excellence.
Minimum Qualifications
- Bachelor's or higher degree in Computer Science, Software Engineering, or related fields.
- Solid programming skills in Go, Java, or Python, and familiarity with microservice architecture.
- Experience with large-scale backend development and cloud-native systems (Kubernetes, Docker, etc.).
- Familiarity with relational and non-relational databases (e.g., MySQL, Redis, MongoDB).
- Good understanding of data structures, algorithms, and distributed systems.
- Strong communication skills and ability to work in cross-functional, international teams.
Preferred Qualifications
- Experience in AI-related backend infrastructure, such as feature serving, vector retrieval, or LLM service integration.
- Familiarity with content platforms, or local commerce ecosystems.
- Experience working with business-side teams (merchants, creators) and understanding of user/product feedback loops.
About the Team
TikTok Local Service is on a mission to empower local merchants, creators, and users by making local experiences more accessible, enjoyable, and intelligent. Our team focuses on leveraging cutting-edge AI technologies to improve user conversion, enhance creator/merchant operations, and enable new forms of smart digital interaction across the local services ecosystem.
You will join an AI Application team that is at the forefront of integrating LLMs and intelligent agents into real-world scenarios such as:
- Smart content generation for creators
- Personalized shopping assistants
- Automated merchant support
- AI-powered analytics for storefront operations
We are building fast, experimenting boldly, and growing rapidly - and we are looking for strong backend engineers to help us build scalable and intelligent platforms that support millions of users and thousands of merchants.
Responsibilities
- Design and develop robust, scalable, and high-performance backend systems for AI-driven products in the local service domain.
- Collaborate closely with product managers, and frontend developers to bring intelligent features into production.
- Build APIs, data pipelines, and microservices to support content generation, and operation tools for creators and merchants.
- Optimize systems for reliability, latency, and cost efficiency in a high-traffic environment.
- Participate in system architecture design and tech planning discussions; drive best practices for code quality and engineering excellence.
Qualifications
Minimum Qualifications
- Bachelor's or higher degree in Computer Science, Software Engineering, or related fields.
- Solid programming skills in Go, Java, or Python, and familiarity with microservice architecture.
- Experience with large-scale backend development and cloud-native systems (Kubernetes, Docker, etc.).
- Familiarity with relational and non-relational databases (e.g., MySQL, Redis, MongoDB).
- Good understanding of data structures, algorithms, and distributed systems.
- Strong communication skills and ability to work in cross-functional, international teams.
Preferred Qualifications
- Experience in AI-related backend infrastructure, such as feature serving, vector retrieval, or LLM service integration.
- Familiarity with content platforms, or local commerce ecosystems.
- Experience working with business-side teams (merchants, creators) and understanding of user/product feedback loops.
Responsibilities
ResponsibilitiesAbout the Team
TikTok Local Service is on a mission to empower local merchants, creators, and users by making local experiences more accessible, enjoyable, and intelligent. Our team focuses on leveraging cutting-edge AI technologies to improve user conversion, enhance creator/merchant operations, and enable new forms of smart digital interaction across the local services ecosystem.
You will join an AI Application team that is at the forefront of integrating LLMs and intelligent agents into real-world scenarios such as:
- Smart content generation for creators
- Personalized shopping assistants
- Automated merchant support
- AI-powered analytics for storefront operations
We are building fast, experimenting boldly, and growing rapidly - and we are looking for strong backend engineers to help us build scalable and intelligent platforms that support millions of users and thousands of merchants.
Responsibilities
- Design and develop robust, scalable, and high-performance backend systems for AI-driven products in the local service domain.
- Collaborate closely with product managers, and frontend developers to bring intelligent features into production.
- Build APIs, data pipelines, and microservices to support content generation, and operation tools for creators and merchants.
- Optimize systems for reliability, latency, and cost efficiency in a high-traffic environment.
- Participate in system architecture design and tech planning discussions; drive best practices for code quality and engineering excellence.
Qualifications
QualificationsMinimum Qualifications
- Bachelor's or higher degree in Computer Science, Software Engineering, or related fields.
- Solid programming skills in Go, Java, or Python, and familiarity with microservice architecture.
- Experience with large-scale backend development and cloud-native systems (Kubernetes, Docker, etc.).
- Familiarity with relational and non-relational databases (e.g., MySQL, Redis, MongoDB).
- Good understanding of data structures, algorithms, and distributed systems.
- Strong communication skills and ability to work in cross-functional, international teams.
Preferred Qualifications
- Experience in AI-related backend infrastructure, such as feature serving, vector retrieval, or LLM service integration.
- Familiarity with content platforms, or local commerce ecosystems.
- Experience working with business-side teams (merchants, creators) and understanding of user/product feedback loops.
Additional Information
- Posted: Aug 1, 2025