Global AI Agent Engineer for E‑Commerce Conversations

TikTok

Singapore

On-site

SGD 90,000 - 130,000

Full time

14 days+

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Job summary

TikTok is hiring an AI Agent Algorithm Engineer Graduate for a 2027 start, joining the Global E-Commerce team to advance a self-evolving agent system that supports 30+ languages. You will own end-to-end work from day one, shipping to production and helping define guardrails, memory, and retrieval strategies.

You will contribute to post-training, fine-tuning, and tool integration, working across languages and architectures to deliver measurable CSAT improvements and robust agent performance at

Qualifications

  • Bachelor's or Master's degree in CS/AI/Math or a quantitative field.
  • Strong Python plus one of C++/Go/Rust/Java.
  • Solid ML/DL/NLP fundamentals with hands-on experience with LLMs or agents.

Responsibilities

  • Build and evolve the agent runtime powering customer-service agents; orchestrate skills, tools, and context; implement loop control & intervention.
  • Engineer context & memory for long multi-turn agents; memory and context management; retrieval-based loading.
  • Post-train and fine-tune LLMs (SFT/DPO/RLHF) and build data flywheel turning conversations into training signals.
  • Design and integrate tools, skills, and MCP connectors; enable tool search for large inventories.
  • Build evaluation as LLM-as-judge with calibration; ensure safety, cost, latency awareness.

Skills

Python
C++
Go
Rust
Java

Education

Bachelor's or Master's in CS/AI/Math or quantitative field

Job description

TikTok is hiring an AI Agent Algorithm Engineer Graduate for a 2027 start, joining the Global E-Commerce team to advance a self-evolving agent system that supports 30+ languages. You will own end-to-end work from day one, shipping to production and helping define guardrails, memory, and retrieval strategies.

You will contribute to post-training, fine-tuning, and tool integration, working across languages and architectures to deliver measurable CSAT improvements and robust agent performance at

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