TikTok
1 week ago Be among the first 25 applicants
Overview
U.S. Data Security (USDS) is a standalone department of TikTok in the U.S. This security-first division focuses on data protection policies and content assurance protocols to keep U.S. users safe. The teams within USDS span Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more. This role resides within the USDS FUSE Intelligence program, an all-hazards team that develops products and services with action-based outcomes to reduce and identify risk to TikTok USDS. As an AI and Security Process Engineer focused on Agentic Systems on the USDS FUSE Intelligence team, you will design, build, and deploy sophisticated AI agents that can reason, plan, and execute complex tasks to support a mature security organization defending the data of millions of TikTok users. This role uses Large Language Models (LLMs) and agentic frameworks to automate workflows, solve security problems, and interact with digital environments dynamically. It requires a blend of strong software engineering skills, deep LLM knowledge, and a creative vision for autonomous systems that support complex security and analytic processes. The ideal candidate will have experience in mature cyber security operations or familiarity with systems integration, business process development, or other AI/automation solutions for complex analytic and process problems. Hybrid work schedule: in-office 3 days a week or as directed by manager/department. This model may change over time. Responsibilities
Design and Develop AI Agents: Architect, build, and deploy robust, multi-step AI agents capable of complex reasoning, tool use, and decision-making using frameworks like LangChain, AutoGen, or CrewAI. Develop and integrate agentic systems using LLMs, RAG, and tool-use/function-calling frameworks to automate or accelerate complex tasks for end-users. RAG: End-to-end RAG lifecycle, including chunking, hybrid retrieval strategies for domain data, and agentic design patterns. Workflow and Process Design: Translate user needs into robust, autonomous workflows that can reason, plan, and execute actions. Integrate Tools and Data Sources: Enable agents to interact with external systems by integrating APIs, databases, and other data sources for real-world action and retrieval. Implement Agentic Architectures: Develop patterns such as ReAct, plan-and-execute, and multi-agent collaboration to solve open-ended problems. Optimize and Evaluate Performance: Establish metrics to evaluate agent performance, reliability, and efficiency; iterate on design, prompts, and model choice to improve outcomes. LLM Customization: Fine-tune foundational LLMs for specific agentic tasks; implement and refine RAG pipelines for up-to-date context. Proven experience building and shipping applications powered by LLMs. Collaboration: Work with product managers, data scientists, and engineers to define requirements, identify automation opportunities, and integrate solutions into core products and internal workflows. Stay Current: Keep up-to-date with advances in agentic AI, LLMs, and autonomous systems; champion adoption of new techniques. Qualifications
Minimum Qualifications
Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related field. 5+ years of professional experience in software engineering or machine learning. Experience building and deploying solutions using agentic AI frameworks (e.g., LangChain, LlamaIndex, AutoGen) and a strong project portfolio. Deep understanding of LLMs, transformer architectures, and NLP techniques including prompt engineering, fine-tuning, and RAG. Solid Python software engineering fundamentals; experience building and deploying production APIs and using ML libraries (PyTorch, Hugging Face, Scikit-learn). Experience with APIs, databases, and cloud platforms (AWS, GCP, or Azure). Preferred Qualifications
Experience designing multi-agent systems with collaboration or competition. Published AI/ML research in top conferences (NeurIPS, ICML, ICLR). Experience with MLOps tools (Docker, Kubernetes, CI/CD) for deploying and monitoring AI systems. Passion for autonomous agents and creative problem solving. Experience with automated tools in Java, C, or PowerShell, and SQL or other query languages. About USDS
TikTok is the leading destination for short-form mobile video. USDS is a U.S.-based subsidiary focused on data security and governance to protect U.S. user data and the platform. Data Security Statement
This role requires working with systems designed to protect sensitive data and will be subject to national security screening. Why Join Us
We value creativity, curiosity, humility, and impact. We aim to foster a diverse, inclusive environment and to inspire creativity and joy through our work. USDS Reasonable Accommodation
USDS provides reasonable accommodations in recruitment processes for candidates with disabilities or other protected needs. If you need assistance, contact us at the provided accommodation link. Job Information
Compensation ranges and benefits are described in the job listing, including base salary, bonuses, stock units, and benefits. Note: specific compensation and benefits can vary by location and may be updated without notice. We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
U.S. Data Security (USDS) is a standalone department of TikTok in the U.S. This security-first division focuses on data protection policies and content assurance protocols to keep U.S. users safe. The teams within USDS span Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more. This role resides within the USDS FUSE Intelligence program, an all-hazards team that develops products and services with action-based outcomes to reduce and identify risk to TikTok USDS. As an AI and Security Process Engineer focused on Agentic Systems on the USDS FUSE Intelligence team, you will design, build, and deploy sophisticated AI agents that can reason, plan, and execute complex tasks to support a mature security organization defending the data of millions of TikTok users. This role uses Large Language Models (LLMs) and agentic frameworks to automate workflows, solve security problems, and interact with digital environments dynamically. It requires a blend of strong software engineering skills, deep LLM knowledge, and a creative vision for autonomous systems that support complex security and analytic processes. The ideal candidate will have experience in mature cyber security operations or familiarity with systems integration, business process development, or other AI/automation solutions for complex analytic and process problems. Hybrid work schedule: in-office 3 days a week or as directed by manager/department. This model may change over time. Responsibilities
Design and Develop AI Agents: Architect, build, and deploy robust, multi-step AI agents capable of complex reasoning, tool use, and decision-making using frameworks like LangChain, AutoGen, or CrewAI. Develop and integrate agentic systems using LLMs, RAG, and tool-use/function-calling frameworks to automate or accelerate complex tasks for end-users. RAG: End-to-end RAG lifecycle, including chunking, hybrid retrieval strategies for domain data, and agentic design patterns. Workflow and Process Design: Translate user needs into robust, autonomous workflows that can reason, plan, and execute actions. Integrate Tools and Data Sources: Enable agents to interact with external systems by integrating APIs, databases, and other data sources for real-world action and retrieval. Implement Agentic Architectures: Develop patterns such as ReAct, plan-and-execute, and multi-agent collaboration to solve open-ended problems. Optimize and Evaluate Performance: Establish metrics to evaluate agent performance, reliability, and efficiency; iterate on design, prompts, and model choice to improve outcomes. LLM Customization: Fine-tune foundational LLMs for specific agentic tasks; implement and refine RAG pipelines for up-to-date context. Proven experience building and shipping applications powered by LLMs. Collaboration: Work with product managers, data scientists, and engineers to define requirements, identify automation opportunities, and integrate solutions into core products and internal workflows. Stay Current: Keep up-to-date with advances in agentic AI, LLMs, and autonomous systems; champion adoption of new techniques. Qualifications
Minimum Qualifications
Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related field. 5+ years of professional experience in software engineering or machine learning. Experience building and deploying solutions using agentic AI frameworks (e.g., LangChain, LlamaIndex, AutoGen) and a strong project portfolio. Deep understanding of LLMs, transformer architectures, and NLP techniques including prompt engineering, fine-tuning, and RAG. Solid Python software engineering fundamentals; experience building and deploying production APIs and using ML libraries (PyTorch, Hugging Face, Scikit-learn). Experience with APIs, databases, and cloud platforms (AWS, GCP, or Azure). Preferred Qualifications
Experience designing multi-agent systems with collaboration or competition. Published AI/ML research in top conferences (NeurIPS, ICML, ICLR). Experience with MLOps tools (Docker, Kubernetes, CI/CD) for deploying and monitoring AI systems. Passion for autonomous agents and creative problem solving. Experience with automated tools in Java, C, or PowerShell, and SQL or other query languages. About USDS
TikTok is the leading destination for short-form mobile video. USDS is a U.S.-based subsidiary focused on data security and governance to protect U.S. user data and the platform. Data Security Statement
This role requires working with systems designed to protect sensitive data and will be subject to national security screening. Why Join Us
We value creativity, curiosity, humility, and impact. We aim to foster a diverse, inclusive environment and to inspire creativity and joy through our work. USDS Reasonable Accommodation
USDS provides reasonable accommodations in recruitment processes for candidates with disabilities or other protected needs. If you need assistance, contact us at the provided accommodation link. Job Information
Compensation ranges and benefits are described in the job listing, including base salary, bonuses, stock units, and benefits. Note: specific compensation and benefits can vary by location and may be updated without notice. We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr