AI Engineer - Build LLM-Powered Prototypes for Gaming Analytics

Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods, and finance.

Our mobile gaming portfolio includes AppMagic and Playliner, which help game developers and publishers understand the mobile games market and how top games run their LiveOps.

What you’ll do

• 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.

Our tech stack

Python, FastAPI, LangGraph, OpenCV, PostgreSQL, S3, Kubernetes, TypeScript, React

What we’re looking for

• 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.