招 AI 工程师（LLM&Agents） Role: AI Engineer (LLM & Agents) Location: Silicon Valley/Beijing/Shanghai
Role Overview As an AI Algorithm Engineer, you will design and build the core AI systems powering Brix’s recruiting OS—from LLM-based reasoning and agents, to matching algorithms and workflow automation.
You will be responsible for: ——Building agentic AI systems capable of planning, tool use, memory, and autonomous task execution ——Designing multi-agent coordination and workflow orchestration ——Developing candidate–role matching, skill extraction, trait inference, and ranking algorithms — —Improving LLM performance (prompting, fine-tuning, RAG, model routing) ——Shipping production-quality AI features with rapid iteration cycles ——Owning model quality, reliability, and performance metrics
Who You Are We’re looking for AI-native, builder-type engineers who thrive in ambiguity. l Experience architecting long-context, multi-step, or persistent agents l Knowledge of agent planning architectures (ReAct, Reflexion, Tree-of-Thought, Graph-of-Thought, RA-As-A-Graph, AutoGen, CrewAI, Swarm) l Ability to design robust state machines for agent behavior l Experience with long-term memory, episodic memory, vector databases l Memory compression / summarization strategies l Schema design for agent state l Experience creating eval suites (MMLU-style, behavioral tests, golden datasets) l Familiarity with output scoring + model routing l Human-in-the-loop feedback pipelines
Familiarity with:
l Strong backend engineering (Python, FastAPI, Node, or Go)
l Kafka / event queues / async workers
l Docker, Kubernetes, CI/CD
Nice to have:
l Familiar with AI hardware architecture design, cloud architecture, AWS certificate is a strong
plus.
l Research ability to implement new agent architectures from papers.
Critical differentiator (please highlight this)
You have built AI agents yourself—either: as a successful side project / indie project, OR as a
startup founder / technical owner who designed and implemented agent systems end-to-end
Nice to Have: Hands-on model tuning, AI system building, open-source work, startup experience,
curiosity for recruiting / org design / people systems—or willingness to rapidly learn
Why Join Us l Ship AI systems used by Google, TikTok, Luma, and fast-scaling startups l Use technology to genuinely change how people work and grow l Strong resources （\(10M+ funding, \)50M+ revenue trajectory ） l A small, exceptional team you help build If you believe AI should elevate people, not replace them—and you want to build the