Tech Lead ​/ Principal Engineer, Creator Agent Algorithm Infrastructure

Tech Lead / Principal Engineer, Creator Agent Algorithm Infrastructure

Responsibilities:

The Arch-Global E-Commerce team develops large-scale recommendation, matching, and ranking algorithms for creator-commerce platforms, supports multiple teams such as Creator Marketplace, Creator Shop, and Tik Tok consumer experiences. We leverage machine learning and data-driven optimization to connect sellers, creators, and products more effectively, increase content-commerce supply, and accelerate e-commerce GMV growth. You will own the overall algorithm infrastructure roadmap for Creator Agent.

Work in close partnership with the algorithm team to ensure cutting-edge agent capabilities can be delivered to the creator business.

Qualifications:

Minimum Qualifications:

1. Deep understanding of the Agent technical stack — familiarity with the architectural approaches of frontier Agent practices such as OpenAI SDK and Claude Code, and a clear point of view on the capability boundaries and algorithmic challenges of Agents.
2. Hands-on experience with Lang Graph (or equivalent frameworks) for building production-grade, domain-customized agents.
3. Systematic understanding of Agent optimization — familiarity with the foundational directions (Agent RL, hierarchical memory and Memory RL, SFT), plus hands-on practice or deep familiarity with at least 2-3 frontier directions (e.g., test-time optimization, tool-use optimization, multi-agent collaboration, automated prompt/workflow optimization, Agent distillation, Agent evaluation). 4. Familiarity with Agentic Search design and implementation, with a clear understanding of the paradigm shift from traditional retrieval to agent-driven retrieval.

5. Deep understanding of B2B / ToB businesses — able to reason about algorithm infrastructure from B2B-specific angles (user workflows, ROI, explainability, cont rollability) rather than directly applying consumer-product intuitions.
6. Technical judgment and forward-looking perspective — able to identify directions with real business value in a rapidly evolving Agent landscape, and bring fresh thinking to the team.
7. Outstanding cross-team collaboration skills — able to build a deep partnership with the product, algorithm and other cooperation engineer teams and drive complex algorithm projects to high-quality delivery.

Preferred Qualifications:

1. End-to-end experience building LLM-powered (especially Agent) algorithm infrastructure from 0 to 1. 2. Deep hands-on experience with RL / RLHF / DPO / GRPO and other LLM alignment techniques.
3. Hands-on exploration or published work in test-time scaling, process reward models, or Agent self-improvement.
4. Practical experience with automated prompt / workflow optimization (DSPy, Text Grad, etc.). 5. Experience with algorithm infrastructure for content generation (copywriting, scripts, etc.). 6. Experience with B2B / SaaS / CRM businesses, either on the algorithm or infrastructure side.
7. Experience with international / multilingual / multi-region products.