AI Engineer: Multimodal Gaming Analytics Prototyping

Sensor Tower; Lisboa; On-site; EUR 55,000 - 90,000; Full time

Job summary

Sensor Tower seeks an AI Engineer to build LLM-powered prototypes for gaming analytics. You will work on multimodal data such as screenshots and gameplay video, selecting appropriate models while balancing quality, speed, and cost.

Collaborate with data and software engineers to prototype, evaluate, and turn top ideas into live product features for our gaming analytics platform. Strong Python and TypeScript, with experience in LLM APIs and retrieval, are highly valued.

Qualifications

• Strong Python proficiency with ability to develop production-grade AI features.
• Experience with multimodal models: processing 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 to apply them.
• Ability to measure results and articulate performance.
• Ability to explain decisions clearly and work independently.
• Proficiency in interviewing in Russian and English.

Responsibilities

• Build AI prototypes for game analytics focusing on multimodal data (screenshots, images, video).
• Select and tune models (primarily Claude) balancing quality, speed, and cost.
• Collaborate with Data Engineers to build data pipelines for large game datasets.
• Measure quality and iteratively improve prototypes.
• Develop retrieval and multi-step pipelines.
• Translate top prototypes into real product features with engineers.

Skills

Python

TypeScript

Multimodal models

LLM APIs

RAG

Vector search

Independent work

English & Russian

Tools

FastAPI

LangGraph

OpenCV

PostgreSQL

S3

Kubernetes

React

Job description

Sensor Tower seeks an AI Engineer to build LLM-powered prototypes for gaming analytics. You will work on multimodal data such as screenshots and gameplay video, selecting appropriate models while balancing quality, speed, and cost.

Collaborate with data and software engineers to prototype, evaluate, and turn top ideas into live product features for our gaming analytics platform. Strong Python and TypeScript, with experience in LLM APIs and retrieval, are highly valued.