Search engineer

At Nexthink, we are reimagining how search, data, and AI-driven insights power the Product organization at scale. We are seeking a Senior Search Engineer to design and build intelligent search systems that enhance how users discover, access, and interact with data across our platform.

This role supports Nexthink’s Product organization, serving a group of 30+ people. You will operate in a highly autonomous, foundational role, acting as the primary engineer responsible for search architecture, information retrieval systems, and ML-driven ranking solutions. You will own technical direction and execution, while partnering with stakeholders who identify and prioritize search and data-driven opportunities.

The role requires strong engineering judgment, end-to-end ownership, and comfort operating independently in a production environment with real business impact.
 

What you’ll do

• Design, develop, and own search architectures and information retrieval systems, including indexing, ranking, and query understanding.
• Build and optimize search pipelines leveraging Machine Learning, NLP, and AI techniques (e.g., semantic search, embeddings, LLM-powered retrieval).
• Develop scalable data pipelines and data engineering workflows to process, enrich, and serve large-scale datasets for search.
• Implement and improve ranking algorithms, relevance tuning, and personalization strategies.
• Integrate search capabilities with distributed systems using APIs, event-driven architectures, and cloud services (AWS or similar).
• Monitor, evaluate, and iterate on search quality using metrics such as relevance, latency, and user engagement.
• Collaborate with Product, Data, and Engineering teams to define and prioritize search and discovery features.