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# Senior Software Development Engineer Search AI

- **Company:** CVS Health
- **Location:** Woonsocket, RI, United States (Remote available)
- **Experience:** Expert
- **Salary:** $92,700.0 - $203,940.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Computer Programming, Elasticsearch, Information Retrieval, Python (Programming Language), Search Algorithms, Machine Learning, Search Technologies, Software Engineering, Apache Solr, Large Language Models, Generative AI
- **Published:** August 24, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pechp21ayc

## About the Role

* 5+ years of professional software engineering experience, with significant depth in search or data-intensive systems
 * 3+ years of experience in: Information Retrieval concepts (inverted indexes, scoring models, relevance tuning) Query understanding, Relevancy and Ranking
 * Demonstrated execution excellence, from design through production support
 * Growth mindset with a track record of mentoring engineers and raising technical standards
 * Experience in AI driven coding include Claude Code, Copilot

Preferred Qualifications

 * 3+ years of experience in: Information Retrieval concepts (inverted indexes, scoring models, relevance tuning) Query understanding, Relevancy and Ranking
 * Experience with Search platforms: OpenSearch, Elasticsearch, and/or Solr

Education

 * Bachelor's degree or equivalent experience (Highschool diploma plus 4 years relevant work experience)

## Description

* Develop and implement advanced search solutions: Lead the development and optimization of search algorithms and systems utilizing technologies such as Elastic/OpenSearch
 * Fine-tune search relevance: Apply machine learning techniques, including classification and ranking models, to significantly improve the relevance of search results.
 * Explore and implement cutting-edge technologies: Contribute to the exploration and integration of Agentic Solutions, Retrieval-Augmented Generation (RAG), and Large Language Models (LLMs) to enhance search capabilities.
 * Analyze search data: Perform in-depth analysis of search queries, user behavior, and search performance metrics to identify areas for improvement and inform optimization strategies.
 * Collaborate with cross-functional teams: Partner with product managers, engineers, and business stakeholders to understand search requirements, develop solutions, and deliver impactful results.
 * Develop and evaluate analytical models: Utilize strong knowledge of algorithms and predictive models to investigate search-related problems, detect patterns, and recommend data-driven solutions.
 * Utilize programming skills: Leverage strong programming skills in Python to explore, examine, and interpret large volumes of search data.
 * Communicate technical concepts: Effectively communicate complex technical concepts and implications to both technical and non-technical audiences.


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