Senior Search Engineer (Applied Search / AI Search)

Opis oferty

About the Role

We are looking for a Senior Search Engineer with strong hands-on expertise in building and improving search systems.

This is a new role focused on improving search relevance and quality by combining traditional search, semantic search, and hybrid search approaches.

We need someone who has already worked on similar challenges, can bring practical knowledge to the team, and knows how to turn experimentation into working solutions.

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.

Wymagania

What We're Looking For

・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.

Nice to Have

・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.

Zakres obowiązków

• 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.