Responsibilities

About The Team We believe the services and community we've built can not only transform how people are inspired on the platform, but also transform how businesses from different industries, big or small, capture growth opportunities in this new era. TikTok is building out our Solutions Engineering team to help our external clients and partners to thrive on this journey. As a Solutions Engineer, you will not only have the opportunity to identify and solve challenges by architecting and building solutions but, more importantly, prioritize client success and work cross-functionally to help them reach their business objectives. Applied AI Focus Focuses on integrating, deploying, and scaling existing AI models to solve business problems. Design, deploy, and maintain scalable AI agents, Retrieval-Augmented Generation (RAG) pipelines, and system integrations that solve concrete business problems. - Orchestration: Linking models to APIs, databases, and front-end interfaces. - Agentic Workflows: Moving models beyond chat interfaces into systems capable of multi-step reasoning, tool-use, and task execution. - RAG Systems: Designing vector databases, chunking strategies, and retrieval evaluation to ground LLMs in specific enterprise data. - Model Evaluation & Tuning: Conducting fine-tuning and putting strong safety guardrails and evaluation frameworks in place. Responsibilities - Develop and maintain relationships with key strategic partners and agencies; build trust through your deep technical expertise of their platforms and customer needs. - Collaborate cross-functionally with Partnerships and/or Agency Leads and Product teams to develop, manage and grow partner relationships with a focus on technical aspects (i.e. technical presentations, trainings, consultations, integration guides, and best practices). - Be an expert on TikTok's API capabilities and partner offerings from technical lens. Advocate for API improvements and influence product roadmap with internal product teams to solve business challenges. - Build and ship new products as well as end-to-end integrations in collaboration with Ads product engineering teams. - Maintain subject matter expertise on marketing technology and API trends.

Qualifications

Minimum Qualifications: - Bachelor's degree or above, majoring in Computer Science or related fields. - 3+ years of experience shipping production quality code - Have experience building or shipping machine learning or LLM-powered products. - Have worked on model evaluation, fine-tuning, or prompt design. - Familiar with one or more general purpose programming languages including but not limited to: Python, Go, Java, C/C++. - Ability to effectively communicate technical concepts to non-technical audiences and to collaborate with various sized stakeholder groups internally and externally. - Demonstrated knowledge of API and backend systems design. Preferred Qualifications - Experience in advertising technology working with large volume data analytics. - Solutions-oriented with strong problem-solving and development experience

Job Information

[For Pay Transparency]Compensation Description (Annually)

The base salary range for this position in the selected city is $156000 - $316800 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.