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Company 004 / Applied AI

Tencent Hunyuan

Three role-specific tracks grounded in PCT diligence and PCV evidence: Agent Harness, Reinforcement Training Framework, and RAG/Agent Algorithm.

Agent engineer mapping orchestration evidence and production-scale gaps

Candidate package

Package 008 A + B + C

Three roles / status: official URLs resolve, manual active-state check required

008A

AI Agent Harness Engineer

Evidence mapping, concurrent trace debugging, evaluation release gates and a 90-day harness roadmap. This is the strongest current fit.

  • Tracing
  • Evaluation
  • Regression
  • Debugging
P0 after role checkOpen A simulation →
008B

Reinforcement Training Framework Engineer

Stretch-role practice for rollout workers, trajectory attribution, reward evaluation and measured infrastructure scale.

  • Async Python
  • Rollouts
  • Reward
  • Runtime
StretchOpen B simulation →
008C

RAG and Agent Algorithm Engineer

Retrieval failure localization, temporal memory, evidence evaluation and latency-aware routed product design.

  • Retrieval
  • Reranking
  • Memory
  • Agents
P1 after role checkOpen C simulation →

Role boundary

Resolve is not active.

HTTP 200 and recent discovery evidence do not prove a vacancy is still open. A human must verify the official Tencent page in a browser before Package 008 can enter PDELIVERY.

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