12 дней назад
Senior Software Engineer, AI Agent and Automation - USDS
187 040 - 438 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer, AI Agent and Automation - USDS (Go/React/LLM): Building foundational AI agent platforms, multi-agent orchestration systems, and intelligent automation workflows for TikTok US safety operations with an accent on distributed systems, workflow runtimes, and reliable LLM integration. Focus on designing agent state management and tool-calling frameworks, building interactive workflow editors, migrating critical data pipelines, and ensuring recovery for safety-critical services.
Location: San Jose, United States; fully in-person schedule of up to 5 days per week
Salary: $187,040–$438,000 annually, with potential discretionary bonuses, incentives, and restricted stock units.
Company
operates a data privacy, cybersecurity, trust and safety, and content moderation program for the TikTok U.S. ecosystem.
What you will do
- Own the technical roadmap for AI agent workflows and platforms supporting USDS safety operations.
- Design and build agent runtimes, state management, tool-calling frameworks, and multi-agent orchestration components.
- Build interactive UIs and workflow editors for monitoring, debugging, and configuring AI workflows.
- Integrate LLMs and detection models into reusable workflow nodes with high reliability and low latency.
- Drive migration of critical data pipelines to USDS and design robust recovery for safety-critical services.
- Collaborate with product and data science teams to turn ambiguous safety needs into scalable automation solutions.
Requirements
- Bachelor’s or master’s degree in computer science or a related technical field.
- 5+ years of professional software engineering experience building large-scale production systems.
- Strong backend experience with Go, Java, or Python, including distributed systems, concurrency, and microservices architecture.
- Hands-on experience with TypeScript and React for complex, interactive internal tools.
- Practical experience integrating LLM or ML capabilities into products, including prompt engineering, model latency, and evaluation flows.
- Willingness to work fully in person in San Jose, up to 5 days per week.
Nice to have
- Experience building workflow engines such as Temporal or Airflow, or node-based editors such as React Flow.
- Familiarity with RAG, multi-step agents, and tool-calling patterns.
- Experience in trust and safety, privacy, or regulatory engineering.
- Experience as a 0→1 or early-stage builder on ambiguous projects.
Culture & Benefits
- Medical, dental, and vision insurance from day one.
- 401(k) savings plan with company match, paid parental leave, disability coverage, and life insurance.
- Wellbeing benefits, 10 paid holidays, 10 paid sick days, and 17 days of paid personal time.
- Work in a safety-focused environment supporting the protection of U.S. user data and the content ecosystem.
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