Tech Expert/Backend Engineer - Global Live (LLM)

Singapore Until 8/21/2026 2+ years exp H-1B sponsor history First posted March 29, 2026 Last posted March 29, 2026
Job description

Description

We are seeking highly skilled and experienced experts to join our TikTok Live Architecture team. TikTok Live is a world-wide leader in live streaming, which occupies more than 50% of the market share. In the LLM team, you have the chance to understand the most advanced LLM models, and design architecture to apply LLM in the world 's largest businesses. You're the person who is at the forefront of the world.

Responsibilities:
- Keep in touch with the most cutting-edge AI technologies, e.g LLM, RAG, etc.
- Get familiar with TikTok Live business, and drive innovation.
- Design and develop advanced architectural solutions for applying LLM technology in business contexts.
- Collaborate with cross-functional teams to achieve business goals.

Requirements

Minimum Qualifications:
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Proven experience (at least 2 years) in software engineering, architecture design, or a related role.
- Have complex system design or architecture building experience, and interested in LLM technology.
- Proficiency in programming languages such as Golang, Python, Java, Rust, or C++.
- Experience with common tech components, e.g Redis, Kakfa, RDS, RPC, K8S, etc.
- Excellent problem-solving skills, and strong communication and interpersonal skills.

Preferred Qualification:
- Have an understanding of machine learning concepts, Big Data processing, or Search systems is preferred.

About this role

Summary

Design and develop LLM-based architecture solutions for TikTok Live.

Job title

Tech Expert/Backend Engineer - Global Live (LLM)

Experience level

2+ years

Minimum experience

2+ years exp

Industry

software

Location requirements

Singapore, remote work not specified

Salary

Not specified

Visa sponsorship

H-1B sponsor history

Management role

No

Skills & keywords

Required skills

programming: Golang, Python, Java, Rust, C++system designproblem-solvingcommunication

Preferred skills

machine learningbig datasearch systems

Specializations

architecture designai technologiesllmsystem design
Locations

Structured locations inferred from the posting.

Singapore

Work arrangement unknown Country