Tech Lead / Principal Engineer, Creator Agent Algorithm Infrastructure

What you'll do

• Design and build agent orchestration, agentic search, hierarchical memory, and algorithm training, evaluation, and iteration infrastructure.
• Evaluate emerging agent optimization approaches and turn those with business value into team capabilities.
• Partner with algorithm and product teams to deliver infrastructure suited to creator and B2B user needs.

What they ask for

• Understand frontier agent architectures, including OpenAI SDK and Claude Code, and their capabilities and challenges.
• Have hands-on experience building production-grade, domain-customized agents with LangGraph or an equivalent framework.
• Understand Agent RL, hierarchical memory and Memory RL, and SFT; have hands-on practice or deep familiarity with at least 2–3 frontier agent optimization directions.
• Understand agentic search and B2B/ToB business needs; demonstrate technical judgment and strong cross-team collaboration.

Nice to have

• End-to-end experience building LLM-powered agent algorithm infrastructure from 0 to 1; hands-on experience with RL, RLHF, DPO, or GRPO.
• Experience in test-time scaling, process reward models, agent self-improvement, automated prompt/workflow optimization, content-generation infrastructure, B2B/SaaS/CRM, or international/multilingual products.

Tools

LangGraph, OpenAI SDK, Claude Code, DSPy, TextGrad, RLHF, DPO, GRPO

AI focus

Build and optimize creator-focused agents, including orchestration, agentic search, hierarchical memory, training and evaluation infrastructure, and emerging optimization methods.