Senior Engineer (Data Search)

TL;DR

Senior Engineer (Data Search): Building a creator search engine indexing 400M+ influencer profiles and billions of media files with an accent on generating multimodal embeddings, advanced filtering, ranking, and relevance scoring. Focus on designing low-latency indexing pipelines, deploying LLMs and vector search into production, and experimenting with semantic search and recommendations.

Location: Fully remote from anywhere in Europe with some overlap with GMT+3.

Company

Profitable SaaS platform powering creator discovery for 1500+ companies like Google, Wolt, Bolt, and Nord VPN.

What you will do

• Own end-to-end high-impact projects from idea to launch in the Data Search team.
• Design, build, and optimize large-scale data products for search systems.
• Generate embeddings from images, videos, text, and audio at massive scale.
• Deploy latest ML models including LLMs for semantic and vector search.
• Collaborate with Data Core, Data Insights, and product teams on features.
• Continuously improve search accuracy, speed, scalability, and low-latency querying.

Requirements

• Based in Europe with some overlap with GMT+3.
• Solid experience as Data or Backend Engineer with large-scale data products.
• Built full products from concept to production including scoping, architecture, implementation.
• Strong system design skills for high-volume environments.
• Hands-on building agentic/LLM-powered features in production.
• Familiarity with AWS (SageMaker, Glue, Kinesis, SQS, Lambda, ECS).
• Clear communication, collaborative mindset, autonomy in fast-paced startups.

Nice to have

• Worked with multimodal embeddings (image, video, text, audio).
• Experience with vector search, embeddings, semantic search, ranking algorithms.
• AI/ML experience including deploying models or GPU infrastructure.
• Deep care for code quality and best practices.
• Interest in creator economy.

Culture & Benefits

• Fully remote-first with regular team offsites.
• Unlimited paid vacation and flexible async-friendly hours.
• High ownership, low bureaucracy, minimal meetings.
• Personal development support for courses, books, conferences.
• Direct communication, autonomy, pair programming, and shared wins.

Hiring process

• Intro chat.
• Coding Interview.
• System Design Interview.
• Team Interview.
• Culture & alignment call with CEO.