AI Architect / Tech Lead (mahjong game)

📋 Description

• Hands-on Tech Lead for an AI Companion in an online mahjong game.
• Build the mahjong-playing algorithm with RL, imitation learning, or search-based methods; train
• Own the technical architecture: game model, LLM reasoning layer, valid-action mask, win detection
• Ensure 2-second response budget per move; design inference path, batching, caching, and latency
• Define required data/events from client; build training and calibration pipelines on that data.
• Lead evaluation harnesses to measure play strength and explanation quality.

🎯 Requirements

• Hands-on ML/AI engineering for production systems, with game AI or sequential decision-making (RL
• Expert Python for ML systems; strong software engineering (APIs, testing, CI).
• End-to-end model training on gameplay data: data → training → evaluation → serving.
• LLM application engineering: reasoning layers, prompts, contextual outputs, guardrails.
• Low-latency inference: profiling, batching, caching, and optimization under strict time budgets.
• LLM observability and evaluation (Langfuse or similar); AWS deployment for ML workloads.

🎁 Benefits

• Remote work with global client engagement.
• Exposure to social gaming with web3 elements and live product deployment.