Senior Engineer (remote, Europe)

Modash OÜ

1d•Remote

About The Position

Modash is seeking a hardened Senior Engineer to join their Data Search Team. This role is full-time and remote within Europe. The Senior Engineer will shape the direction of the creator economy by building world-class data platforms that power creator discovery. Data Search is a core product capability, and the engineer will own high-impact projects end-to-end, from idea to launch. Responsibilities include designing, building, and optimizing large-scale data products tied to search systems, collaborating with other product teams, and continuously improving search accuracy, speed, and scalability. Projects involve building a creator search engine, generating embeddings, creating systems for filtering and ranking, deploying ML models, and designing indexing and querying pipelines. The role emphasizes creating production-ready search products from scratch.

Requirements

Solid experience as a Data or Backend Engineer working with large scale data products.
Experience building full products from concept to production: scoping → architecture → implementation → release → iteration.
Strong system design skills and experience with large-scale, high-volume environments.
Hands-on experience building agentic / LLM-powered features in production.
Practical understanding of trade-offs between LLMs (cost, latency, capability).
Familiarity with AWS (SageMaker, Glue, Kinesis, SQS, Lambda, ECS).
Clear communication skills & collaborative mindset.
Autonomy in gathering requirements for complex projects.
Experience in fast-paced startup environments.
Based in Europe with some overlap with GMT+3.

Nice To Haves

Worked with multimodal embeddings (image, video, text, audio).
Experience with vector search, embeddings, semantic search, and ranking algorithms.
Hands-on AI/ML experience, ideally including deploying or self-hosting models and/or working with GPU infrastructure.
Care deeply about code quality and best practices.
Curious about the creator economy.

Responsibilities

Own high impact projects end-to-end, from idea to launch.
Design, build, and optimize large-scale data products tied to search systems.
Collaborate with data core, data insights, and other product teams to deliver impactful features.
Continuously improve search accuracy, speed, and scalability.
Build a creator search engine indexing 400M+ influencer profiles and billions of media files.
Generate embeddings from images, videos, text, and audio at massive scale.
Create systems for advanced filtering, ranking, and relevance scoring.
Deploy the latest ML models for semantic and vector search into production within weeks.
Design indexing and querying pipelines to serve millions of requests with low latency.
Experiment with how LLMs, multimodal embeddings, and vector databases can enhance search & recommendations.
Create production-ready search products from scratch that directly impact customers.