Senior AI Search Infra Engineer — Scalable LLM Platforms

TikTok Inc.; San Jose (CA); Sur place; USD 254 000 - 588 000; Plein temps

Avantages offerts par ce poste

Medical insurance

Dental insurance

Vision insurance

401(k) with company match

Parental leave

Disability insurance

Life insurance

Wellbeing benefits

Paid holidays

Paid sick days

Paid personal time

Résumé du poste

TikTok Inc. is seeking a lead for the AI Search Infra team in San Jose to architect and optimize scalable ML infrastructure serving billions of search requests daily.

You will drive multi-agent LLM engines, ReAct/tooling, and RAG workflows to deliver fast, accurate AI search experiences across Q&A, chat, and visual search. You will collaborate with modeling and product teams to push performance, efficiency, and reliability, while guiding distributed data systems, GPU-accelerated inference, and

Qualifications

• Bachelor or advanced degree in CS or related disciplines.
• 5+ years in recommendation, search, Ads, or ML Infra.
• Strong CS background, coding skills and algorithms knowledge.
• Experience in at least one of: recommendation system, search engine, advertising engine, Agent/RAG engine, or LLM serving/training.
• Excellent communication and teamwork with ownership mindset.

Responsabilités

• Evolve TikTok's AI Search multi-agent LLM engine, supporting ReAct + Tool calling, DAG-based workflows, and RAG paradigms
• Deploy and optimize text/multimodal LLMs, including inference acceleration, model alignment during training, and reinforcement learning
• Build scalable and reliable end-to-end serving platforms supporting multiple TikTok AI Search use cases, such as Q&A cards, in-app chatbot, and visual search, including both online and offline scenarios
• Build large-scale data architecture for handling billion-level data records: offline computation, distributed system performance and scheduling optimization, as well as building high-availability, high-throughput, and low-latency online services
• Design and build personalized AI search capabilities to achieve more accurate AI Overview and Q&A experience for users
• Collaborate with modeling and product teams to deliver better AI search experience for Tiktok users

Connaissances

5+ years in recommendation/search/Ads/

Strong CS background; coding skills;

Experience in at least one area: RAG/“

Excellent communication and ownership

Formation

Bachelor or advanced degree in Computer Science or related disciplines

Outils

Linux optimization

Large-scale C++

Distributed systems

Distributed databases

GPU inference

LLM serving/training

Description du poste

TikTok Inc. is seeking a lead for the AI Search Infra team in San Jose to architect and optimize scalable ML infrastructure serving billions of search requests daily.

You will drive multi-agent LLM engines, ReAct/tooling, and RAG workflows to deliver fast, accurate AI search experiences across Q&A, chat, and visual search. You will collaborate with modeling and product teams to push performance, efficiency, and reliability, while guiding distributed data systems, GPU-accelerated inference, and