Sensor Tower AI Engineer at Sensor Tower to build LLM-powered prototypes for gaming analytics products. Focus on multimodal data such as screenshots, images, and gameplay video to recognize LiveOps events and extract game update changes.
Responsibilities
Build AI prototypes for game analytics, with a focus on multimodal data: screenshots, images and gameplay video. For example, recognizing LiveOps events from in-game screenshots or extracting what changed in a game update.
Choose and use the right models for each task (mainly Claude), balancing quality, speed and cost.
Build data pipelines with our Data Engineer to run models on large volumes of game data.
Measure quality so we know what works and what doesn’t.
Build retrieval and multi-step pipelines.
Turn the best prototypes into real product features together with our engineers.
Strong Python (TypeScript is a plus)Experience with multimodal modelsUnderstanding of RAG and vector searchWhat we’d be particularly excited aboutExperience with LangGraph
Required
Strong Python (TypeScript is a plus).
Experience with multimodal models: screenshots, images or video.
Hands-on experience building products on top of LLM APIs, not just chatbots.
Understanding of RAG and vector search, and when they’re not needed.
You measure results and can show how well your solution works.
You can work independently and explain your decisions clearly.
Ability to pass technical interview both in Russian & English.
What we’d be particularly excited about
Interest in or experience with mobile games, LiveOps or market analytics.
Hands on experience in building AI projects
Experience with LangGraph, LlamaIndex or similar frameworks, and an opinion on when they’re worth using.
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Preferred
Interest in or experience with mobile games, LiveOps or market analytics
Hands on experience in building AI projects
Experience with LangGraph, LlamaIndex or similar frameworks