AI Architect / Tech Lead (mahjong game)
Tasks
- Build game model and decision pipeline
- Build training evaluation calibration pipeline
- Coordinate with product owner in scrum
- Create evaluation harness for play strength
- Deploy models for low latency inference
- Design mahjong playing algorithm
- Implement LLM reasoning layer with guardrails
- Implement valid action mask and win detection
- Integrate AI with game engine API contract
- Lead sprint delivery with small pod
- Monitor and report model and explanation quality
- Optimize batching and caching for 2 second response budget
- Set up LLM observability with Langfuse
- Train models on hand history data
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AWS | Batching | Caching | Continuous integration | Deep learning | Guardrails | Imitation Learning | Langfuse | Language Models | Large Language Models | Low Latency | Low-Latency Systems | MCTS | Machine Learning | Model profiling | Monte Carlo | Monte-Carlo Tree Search | Prompt engineering | Python | Reinforcement Learning | Self-play | Structured Output | Testing | Tree search
Education
N/A
Roles
AI | AI Architect | Architect | Lead | Tech Lead
Regions
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