15 ott - Roma
Neurons Lab
ph3About The Project (description, Duration, Stage) /h3 pHands-on bTech Lead /b for an bAI Companion /b in an online mahjong game. The client is a bsocial gaming company (web3 element) /b that scales its product and team. We deliver the AI side of their game as their embedded AI partner. The AI Companion plays mahjong at a strong level and explains its moves. The core of the role is to bbuild the mahjong-playing algorithm /b: a dedicated decision-making model (RL, imitation learning, or search-based — trained on the client's hand-history data) with an bLLM reasoning layer /b on top. Key design constraints: a bvalid-action contract /b with the game engine (the bridge supplies legal moves), bwin detection /b, and a b2-second response budget /b per move. Explanations run async. Support for more than one rule set (riichi and regional variants) is on the roadmap. /p pbDuration /b: 3 months, 0.5 FTE. /p h3What You’ll Actually Do (example Tasks) /h3 ul liDesign and build the mahjong-playing algorithm: choose and defend the approach (imitation learning on hand histories, RL / self-play,
search with MCTS, or a hybrid), then train, evaluate, and ship it. /li liOwn the technical architecture end to end: game model + LLM reasoning layer, valid-action mask, win detection, and the API contract with the client's game bridge. /li liHit the 2-second response budget: design and measure the inference path, batching, and caching; keep a latency buffer for the client-facing number. /li liDefine what data and event names we need from the client (hand histories, event streams); build the training and calibration pipeline on that data. /li liBuild and run the evaluation harness: measure play strength against the client's reference points, and validate explanation quality. /li liStand up LLM observability with Langfuse (async logging, N+1 batch) as an early sprint quick win. /li liTake over context from Vlad Borysenko (0.15–0.2 FTE supervision during ramp-up) and lead the sprint work with t
16 ott - Vicenza
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16 ott - Torino
Soil Engineering
16 ott - Bologna
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16 ott - Bergamo
AM International