AI Agent Algorithm Engineer Intern (Global E-Commerce, Conversational AI) - 2027 Start Singapore Undergraduate/Master Intern - 2027 Start

TikTok; Singapore; On-site; SGD 17,000 - 21,000; Full time

Job summary

TikTok is seeking an AI Agent Algorithm Engineer Intern for Global E-Commerce, Conversational AI, starting 2027. You will build and evolve the agent runtime, orchestrating skills, tools, and memory across multi-turn conversations with guardrails.

Qualifications include pursuing an undergraduate or master's in CS/engineering, strong Python and one of C++, Go, Rust, or Java, plus solid ML/DL/NLP fundamentals and hands-on work with LLMs or agents.

Qualifications

• Currently pursuing an undergraduate or master's degree in software development, computer science, or related technical discipline.
• Strong Python plus one of C++ / Go / Rust / Java.
• Solid ML / DL / NLP fundamentals with hands-on experience with LLMs or agents.
• Able to read a paper or engineering blog and turn it into working code.

Responsibilities

• Build and evolve the agent runtime powering customer-service agents — orchestrate skills, tools, and context; implement loop control, intervention, and guardrails.
• Engineer context and memory for long multi-turn agents — memory, context summarization, and retrieval.
• Post-train and fine-tune LLMs (SFT / DPO / RL) and build data flywheel for training/eval/retrieval signals.
• Design and integrate tools, skills, and MCP connectors; enable tool search for large tool inventories.
• Build evaluation — LLM-as-judge with calibration; latency-aware harnesses; close offline-online gap.
• Build self-evolving loop — replay, user-simulator, Auto-RCA/Auto-GSB/Auto-Policy.
• Own an end-to-end surface and ship it to production across 30+ languages, measured on CSAT and containment rate.

Skills

Python

C++

ML/DL fundamentals

Education

Undergraduate or Master's degree in Computer Science or related

Job description

AI Agent Algorithm Engineer Intern (Global E-Commerce, Conversational AI) - 2027 Start

Location:

Employment Type:

Intern

Job Code:

A231292

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Responsibilities

• Build and evolve the agent runtime (harness / agent loop) powering our customer-service agents — orchestrate skills, tools, and context; implement loop control & intervention, progressive disclosure, and behavior-level guardrails.
• Engineer context & memory for long multi-turn agents — agentic memory (structured note-taking), context compaction / summarization, context editing / observation masking, and just-in-time (retrieve-then-load) retrieval.
• Post-train and fine-tune LLMs (SFT / DPO / RL) and build the data flywheel that turns served conversations into training / eval / retrieval signals.
• Design and integrate tools, Skills, and MCP connectors (tools-as-APIs), plus skill / tool search for large tool inventories.
• Build evaluation — LLM-as-judge with human-agreement calibration; regression / safety / cost / latency-aware harnesses; close the offline online gap.
• Build the self-evolving loop — replay + user-simulator + Auto-RCA / Auto-GSB / Auto-Policy — so the system continuously improves itself.
• Own one high-leverage end-to-end surface and ship it to production across 30+ languages, measured on real business metrics (CSAT, resolution / containment rate).

Qualifications

Minimum Qualifications

• Currently Pursuing a Undergraduate or Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Strong Python plus one of C++ / Go / Rust / Java
• Solid ML / DL / NLP fundamentals, with genuine hands-on experience with LLMs or agents (coursework, research, internship, competition, open-source, or a serious side project)
• Able to read a paper or an engineering blog and turn it into working code

Preferred Qualifications

• Have built the runtime, not just called an API — even at research / hobby / competition scale: your own agent loop / harness, a memory / context-management system, a RAG or tool-use agent, or a fine-tuned / post-trained model
• Hands-on experience in any one of: post-training (SFT / DPO / RLHF / RLAIF / RLVR, reward modeling); agent systems (harness, context engineering, MCP / Skills, sub-agents, tool search); evaluation (LLM-as-judge, τ-bench / SWE-bench / GAIA / BFCL); inference & serving (vLLM / TensorRT-LLM, MoE, KV / prompt caching); or multilingual NLP — depth in one is enough, breadth welcome

Job Information

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

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