AI Application Infra - Technical Specialist/Engineer - TikTok LIVE

TIKTOK PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

TikTok in Singapore invites an AI-focused engineer to join the LIVE system team. You will help design real-time AI architectures, support high‑concurrency workloads, and drive AI product features across global platforms.

The role emphasizes hands-on development, cross‑functional collaboration, and deployment and optimization of large language models to power interactive experiences for billions of users. Strong problem solving and communication skills are essential.

Qualifications

• Bachelor's degree or above in computer-related fields with solid coding fundamentals.
• Strong curiosity about cutting-edge AI technologies and hands-on experience.
• Experience in model inference, training, and AI application development.
• Excellent problem-solving and collaborative communication skills.
• Preferred: experience with LLM deployment and optimization.

Responsibilities

• Gain in-depth understanding of the LIVE business and implement AI features.
• Drive AI architecture evolution and optimize high-concurrency systems.
• Build scalable AI applications for training and inference workloads.
• Explore cutting-edge AI tech to shape next-generation AI native systems.

Skills

Curiosity about AI

Hands-on experience

Problem solving

Communication and collaboration

Education

Bachelor's degree or above in computer-related fields

Tools

AI frameworks

Model inference

Job description

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

About Our Team

The TikTok LIVE system powers real-time engagement experiences for billions of users worldwide, supporting tens of millions of concurrent online users and millions of concurrent requests. Faced with complex technical challenges, the service architecture team continuously advances the evolution of LIVE components, high-availability disaster recovery, architecture governance, and AI application infrastructure, building a real-time interactive AI architecture that drives product innovation and sustained global business growth.

Gain in-depth understanding of the LIVE business, implement business features of AI products, and drive the technological evolution of AI architecture

Responsible for building high-concurrency AI application architectures, supporting efficient iteration of algorithm engineering and business, and end-to-end optimizing system performance for training and inference scenarios

Explore and practice cutting-edge AI technologies, build the next-generation AI Native system architecture, and drive innovative and efficient implementation of products

Qualifications

Minimum Qualifications:

• Bachelor's degree or above, major in computer-related fields, with solid coding and engineering fundamentals
• Candidates with a strong curiosity about cutting-edge AI technologies and rich hands-on practical experience are preferred
• Candidates with experience in model inference, training, and AI application development, as well as a clear understanding or unique insights into the evolution of the Agent technology system, are preferred
• Candidates with excellent problem abstraction and definition skills, systematic problem-solving abilities, and good communication and collaboration spirit are preferred

Preferred Qualification:

• Have LLMs deployment and optimization experience