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Ready to shape how millions of users discover knowledge through world-class search and AI-powered relevance?
Want to work at the intersection of search engineering, relevance tuning, and real-world AI impact?
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers.
Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case.
We are seeking a Senior Software Engineer I with strong experience in search platforms and AI-enabled discovery to help design, build, and evolve highly scalable, high-quality software solutions.
This role focuses on delivering robust search and relevance capabilities while contributing to AI readiness through modern retrieval and evaluation techniques.
You will work closely with engineers, product partners, and stakeholders to translate complex requirements into reliable, production-ready systems.
• Design, build, and maintain scalable software components supporting search and discovery platforms
• Develop and evolve indexing pipelines, query services, and relevance configurations
• Implement and review complex bug fixes, including relevance regressions and indexing defects
• Collaborate with cross-functional teams to translate product and search UX requirements into technical solutions
• Perform code reviews and contribute to clean architecture, secure coding, and observability best practices
• Tune search relevance using boosting, ranking, evaluation metrics, and A/B testing
• Operate and optimize SolrCloud environments, including performance, capacity, and stability
• Support AI-assisted discovery patterns such as RAG and semantic augmentation over search indexes
• Define, track, and improve search quality KPIs including relevance, latency, and coverage
• Mentor and support less-senior engineers on search fundamentals, best practices, and evaluation techniques
• 5+ years of professional software engineering experience with ownership of production systems
• Strong hands-on experience delivering search platforms (Apache Solr preferred; Elasticsearch/OpenSearch acceptable)
• Demonstrated experience shipping AI-enabled capabilities such as semantic search, RAG, or LLM integrations
• Proficiency in one or more programming languages such as C#/.NET, Java, Python, or JavaScript/TypeScript
• Deep understanding of search concepts including indexing strategies, querying, relevance tuning, and evaluation
• Experience with Solr schema design, analyzers, indexing workflows, and query optimization
• Knowledge of modern development practices including CI/CD, testing, containers, and monitoring
• Understanding of data modeling principles and multiple data storage systems
• Ability to communicate effectively with both technical and non-technical stakeholders
• Awareness of data governance, PII handling, and AI risk considerations
LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world.
As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.
hackajob is partnering with LexisNexis to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.