11 часов назад
Software Engineer, AI Data Application – USDS
136 800 - 359 720$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer, AI Data Application – USDS (Python/Go/Java/Node.js, AI): Building backend services, internal platform components, and AI-powered data applications that automate workflows and improve self-service capabilities with an accent on reliability, maintainability, performance, and production readiness. Focus on integrating LLM APIs, RAG pipelines, model-serving infrastructure, and agentic workflows while designing scalable APIs and resilient data infrastructure.
Location: San Jose R&D; fully in-person schedule up to 5 days a week
Salary: $136,800–$359,720 annually, with potential additional bonuses, incentives, and restricted stock units.
Company
operates the U.S. Data Security organization responsible for protecting the security, integrity, and compliance of TikTok data in the United States.
What you will do
- Design, build, and maintain reliable, maintainable, and high-performance backend services and internal platform components.
- Develop data services, workflow orchestration, model integrations, and intelligent automation for AI-powered internal products.
- Build reusable APIs, backend components, and self-service tools that reduce manual work and improve data accessibility.
- Apply best practices in service architecture, API design, observability, testing, and operational excellence.
- Collaborate with product, engineering, data, software, fullstack, and business stakeholders to translate requirements into backend solutions.
Requirements
- BS/MS in Computer Science, Engineering, or a related technical field.
- 3+ years of software development experience building and maintaining backend systems or platform services in production.
- Proficiency in Python, Go, Java, or Node.js, with experience building APIs, services, and integrations.
- Working knowledge of databases, caching, messaging systems, and cloud-native infrastructure.
- Ability to contribute to scalable, resilient, and operationally efficient systems.
Nice to have
- Experience integrating LLM APIs, RAG pipelines, model-serving infrastructure, or agentic workflows into backend systems.
- Experience with internal platforms, service frameworks, workflow engines, developer tools, or data infrastructure.
- Strength in system design and technical discussions involving performance, complexity, and developer experience.
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.
- 10 paid holidays, 10 paid sick days, and 17 days of paid personal time.
- Work in an environment focused on curiosity, humility, resilience, continuous iteration, and measurable impact.
- Reasonable accommodations are available during the recruitment process.
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