AI Engineer Lisbon, Portugal · Full time · Remote

Sensor Tower; Lisboa; Hybrid; EUR 60,000 - 90,000; Full time

Job summary

Sensor Tower is recruiting an AI Engineer to build LLM-powered prototypes for gaming analytics. You will work with multimodal data—screenshots, images and gameplay video—to prototype LiveOps insights and features.

You will select models (Claude preferred), build data pipelines with our Data Engineer, and measure results to demonstrate impact. Strong Python and TypeScript skills are valued, with fluency in Russian and English for interviews.

Qualifications

• Proven experience with Python-based ML and data pipelines.
• Experience with multimodal data (screenshots/images/video).
• Hands-on with LLM APIs beyond chatbots.
• Familiarity with LangGraph, LlamaIndex or similar frameworks.

Responsibilities

• Build AI prototypes for game analytics using multimodal data.
• Choose and use models for tasks (primarily Claude), balancing quality and cost.
• Collaborate with Data Engineer to run models on large game data.
• Measure model performance and iterate based on results.
• Build retrieval and multi-step pipelines.
• Turn prototypes into real product features with engineering teams.

Skills

Python

TypeScript

Multimodal models

LLM APIs

RAG

Vector search

LangGraph

LlamaIndex

Independent work

Russian & English interview

Tools

Claude

Job description

Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s 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.

We’re looking for an AI Engineer to build LLM-powered prototypes for our gaming analytics products

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.