Senior Software Engineer, AI Data Application – USDS

About the Team

The TikTok U.S. Data Security (USDS) team is responsible for the security, integrity, and compliance of TikTok’s data within the United States. The Data Platform Team builds a scalable, reliable, cost-efficient infrastructure that ensures data integrity and empowers every business unit to win through self-service tools and scientific insights.

We are seeking a Senior Engineer to help drive company-wide efficiency and "self-service empowerment" through AI-driven innovation. Our mission is to transform how the organization interacts with data by building a "technical multiplier"—a suite of internal products that automate manual bottlenecks and accelerate business velocity.

Responsibilities

• Design & Develop AI-Driven Tools: Architect and implement 0-1 internal products, including automated SQL generation, conversational RAG systems, and intelligent on-call diagnosis bots.
• Operational Efficiency: Analyze Meego workflows to identify manual friction points and build targeted self-service tooling that empowers non-technical stakeholders to manage data tasks independently.
• Release Governance: Integrate Meego into the feature releasing pipeline to ensure data-informed decision-making and minimize operational risks during global deployments.
• Enterprise Support: Provide high-precision data and tooling support for critical internal functions, including Legal, Finance, HR, and Government Relations.
• Collaborative Innovation: Partner with Global Partners and T&P teams to platformize successful AI pilots, such as automated AB experiment reporting and resource allocation systems.

Minimum Qualifications

• Education: BS/MS in Computer Science, Engineering, or a related technical field.
• Experience: 5+ years of experience in software development, with a strong background in backend systems or platform engineering.
• Technical Skills: Proficiency in at least one core programming language (e.g., Python, Go, Java, or C++).

Preferred Qualifications

• AI/ML Expertise: Experience building or deploying LLM-based agents, RAG (Retrieval-Augmented Generation) systems, or time-series forecasting models.
• Tooling Development: Previous experience developing internal productivity tools, such as Project management, AB testing platforms, data discovery assistants, or automated reporting pipelines.
• Leadership: Experience acting as a Technical Lead (TL), mentoring junior engineers, and leading "0-1" project initiatives from conception to production.