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Sensor Tower

Delivers mobile app intelligence and analytics

AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeTbilisi, GeorgiaNo salary listedRemote

About the Job

Requirements

  • Strong Python skills are required; TypeScript is a plus.
  • Experience with multimodal models involving screenshots, images, or video is required.
  • Hands-on experience building products on top of large language model APIs, beyond chatbots, is required.
  • Understanding of retrieval-augmented generation and vector search, including when they are not needed, is required.
  • Ability to measure results and demonstrate solution performance is required.
  • Ability to work independently and explain decisions clearly is required.
  • Ability to pass the technical interview in both Russian and English is required.

Responsibilities

  • Build AI prototypes for game analytics using multimodal data such as screenshots, images, and gameplay video, including recognizing LiveOps events in screenshots or extracting changes in game updates.
  • Select and use appropriate models for each task, mainly Claude, balancing quality, speed, and cost.
  • Build data pipelines with the Data Engineer to run models on large volumes of game data.
  • Measure solution quality to determine what works and what does not.
  • Build retrieval and multi-step pipelines.
  • Develop successful prototypes into product features in collaboration with engineering teams.

Desired Qualifications

  • Interest in or experience with mobile games, LiveOps, or market analytics.
  • Hands-on experience building AI projects.
  • Experience with LangGraph, LlamaIndex, or similar frameworks, and an informed view on when to use them.

About the Company

Sensor Tower

Delivers mobile app intelligence and analytics

Sensor Tower provides business intelligence and data analytics for the mobile app ecosystem, offering insights on app performance, user acquisition trends, and the competitive landscape across iOS and Android for millions of apps. Its platform uses modules such as App Intelligence (ASO and creative analysis), Store Intelligence (downloads and revenue estimates), Ad Intelligence (mobile ad spend and networks), and Top Charts (real-time leaders), all delivered through a tiered subscription. It differentiates itself by uniting multiple data domains focused on mobile apps into one platform, serving everyone from individual developers to large enterprises. Its goal is to help clients grow their mobile businesses by turning data into actionable insights for performance, marketing optimization, user acquisition, and monetization.

Company size
201-500
Company stage
Growth Equity (Venture Capital)
Total funding
$46M
Headquarters
San Francisco, CA
Founded
2012

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