Staff Engineer, Search

Position Overview

• Location Type: Remote
• Employment Type: Full Time
• Salary: Not specified

Fullscript is revolutionizing healthcare by connecting practitioners and patients with evidence-based health solutions. We help 100,000+ healthcare practitioners support 10 million patients through a comprehensive platform. We’re building a better way to treat the whole person, not just symptoms. We are seeking a Staff Engineer, Search to partner with a technical lead and impact the technical vision, strategy, and execution for Fullscript’s search experience. The Search Team is responsible for everything search-related on the Fullscript platform, enabling healthcare practitioners and patients to seamlessly find the right products to support their wellness journeys. As a Staff Engineer, you will impact the roadmap, improve the relevance and performance of our search functionality, and collaborate with engineers, data scientists, and product managers to deliver a world-class search experience. This role requires a deep understanding of search technologies, relevance tuning, large-scale indexing, and machine learning-based search enhancements. You will work closely with engineering leadership, mentor other engineers, and set the technical direction for our search infrastructure.

Requirements

• 7+ years of experience in software engineering.
• Strong focus on search technologies.
• Expertise in Elasticsearch, OpenSearch, or similar search engines (Solr, Algolia, etc.).
• Deep understanding of information retrieval, ranking algorithms, vector search, and query parsing.
• Experience building high-scale, production-ready search applications.
• Knowledge of natural language processing (NLP), machine learning-based ranking techniques, and AI-powered search is a plus.
• Proficiency in Ruby, Python, Java, or other relevant programming languages.

Responsibilities

• Lead and drive technical strategy, architecture, and execution for Fullscript’s search experience.
• Design, implement, and optimize search algorithms, indexing strategies, and relevance tuning techniques.
• Collaborate with Product, Data, and Engineering teams to develop and refine search functionality.
• Improve search ranking through techniques like vector search, learning-to-rank, synonym expansion, and query understanding.
• Solve performance issues related to search scalability, speed, and data indexing.
• Develop logging and monitoring solutions to track search performance and identify opportunities for improvement.
• Conduct technical deep dives and code reviews to maintain high engineering standards.
• Drive best practices in search engineering, including A/B testing, observability, and automated evaluation.
• Provide mentorship and technical leadership to engineers on the Search team and beyond.

Application Instructions

• Not specified.