Senior Search Engineer (Applied Search / AI Search)

Technologies we use

About the project

This is how we organize our work

This is how we work

Team members

Your responsibilities

• Design, develop, and optimize search solutions, focusing on relevance, accuracy, and search quality.
• Work with traditional, semantic, and hybrid search approaches.
• Experiment with different search strategies, evaluate results, and continuously improve performance.
• Take ownership of search-related features, from technical decisions to production implementation.
• Help the team make informed decisions about search technologies and architecture.
• Share practical knowledge and contribute to engineering standards.

Our requirements

• 6+ years of commercial experience in software engineering, including hands-on experience building, implementing, or optimizing search systems.
• Practical knowledge of traditional search, semantic search, and hybrid search.
• Experience with search engines such as OpenSearch, Elasticsearch, Vespa, or similar technologies.
• Understanding of search relevance, ranking, retrieval strategies, and performance optimization.
• Experience experimenting with and evaluating different search approaches.
• Ability to work independently, challenge existing solutions, and take ownership of technical decisions.
• Product-oriented mindset and a collaborative approach to problem-solving.

Optional

• Experience integrating LLMs, embeddings, or vector search into production applications.
• Background in companies developing search products or search-heavy platforms.
• Experience evaluating or migrating between search technologies.

What we offer

• Opportunity to shape a new area of engineering and have a direct impact on the product.
• Ownership of technical decisions and freedom to propose better approaches.
• Collaboration with an experienced engineering team.
• Practical AI and search challenges, with room for experimentation.
• Multisport card.

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Benefits