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Open nowFirst seen 14 hours ago

AI Agent Project Intern (Open Platform) - 2026 Start

TikTok4,285 open roles

Where
Singapore
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Your applicationOpen nowAI Agent Project Intern (Open Platform) - 2026 StartTikTok · Singapore
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on TikTok's own form.

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The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market. TikTok postings stay open a median of 5 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: first seen 14 hours ago

TikTok median: 5 days open

The posting

The TikTok Open Platform team is on a mission to build a platform that bridges content, people and business in TikTok ecosystem. The team focuses on building cross-platform features for both developers and TikTok users, including APIs, SDKs, and InApp services. The platform will enable more interactions across TikTok and its broader ecosystem, enhancing cross-product business values.

As a Project Intern, you will contribute to impactful short-term projects and gain hands-on experience in a fast-paced, professional environment. This internship offers the opportunity to develop practical skills, apply your knowledge to real-world challenges, and explore your career interests. Applications are reviewed on a rolling basis, so we encourage you to apply early.

Responsibilities: -Own the end-to-end delivery of Open Platform APIs, covering both server-side and client-side development. -Design and implement an "Agent-driven" delivery model for Open API development — leveraging AI Agents to accelerate the full engineering lifecycle from PRD to coding, testing, and release. -Safeguard the security of the open ecosystem; empower ecosystem developers through technical capabilities, and build a secure, robust, and thriving open platform ecosystem.

Minimum Qualifications: - Undergraduate student in Computer Science, Software Engineering, Artificial Intelligence, or a related field. - Solid coding skills in at least one of Python, Java, Golang, C++, or C - Understanding of distributed systems and large-scale architecture - AI mindset and hands-on delivery capability: Goes beyond proficiency with AI tools — able to apply AI rapidly to complex, real-world scenarios, independently handling problem decomposition, solution design, validation, and end-to-end delivery. - Engineering and productization of AI solutions: Able to transform everyday AI problem-solving experience into reliable, reusable, and maintainable tools or systems — such as automated workflows, Agents, or internal platforms.

Preferred Qualifications: - Strong personal projects, open-source contributions, technical blogging, or competition experience.

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