Top Tech Jobs & Startup Jobs

Lead design and evolution of a multimodal document understanding and structured extraction platform. Build multimodal model strategy and multi‑agent orchestration, fine‑tune models, define metrics, ensure quality controls, and integrate outputs into business systems.

Serve as primary technical contact for customers and external teams. Design system components, implement complex features and bug fixes, build and optimize data models, mentor developers, and drive architecture, TDD, CI/CD, and deployment practices across projects.

Design and develop a next-generation legal search platform within an Agile Scrum team. Contribute to architecture, write and review complex specifications, ensure code quality, implement best practices, mentor junior engineers, and collaborate with product teams to deliver scalable, production-ready microservices.

Lead a team delivering global caselaw content across digital and print, improve workflows via CMS and automation, manage budgets and vendors, develop metrics and analytics, coordinate cross-functionally, and drive talent development and AI-first thinking.

Lead a software engineering team: write and review complex code, resolve escalated technical issues, design complex data models, implement best practices, manage and mentor direct reports, and drive project planning and delivery.

Lead product management for U.S. Codes, Codes/Legislation, and State Net content; drive AI-driven content initiatives, oversee feature development in LexisNexis+ AI and Protege, ensure product performance and maintenance, and partner with global operations to deliver high-quality legal content.

Design, experiment with, and deploy machine learning and NLP/LLM solutions on large datasets; perform data preparation, modeling, visualization, documentation, and collaborate with cross-functional teams to deliver production-ready AI models.

Design, develop, and deploy LLM/NLP solutions; analyze large datasets to inform models; evaluate frameworks and governance; mentor junior data scientists; collaborate with cross-functional teams and product leaders.

Lead design and delivery of scalable Python-based software and AI systems, make architectural decisions, mentor engineers, manage direct reports, and integrate vector databases, search, messaging, and observability to productionize RAG and model-driven features.

Lead and coach a sales team to hit revenue targets, develop and execute sales strategies, manage pipeline and forecasts, build customer relationships, identify upsell opportunities, analyze market trends, and collaborate cross-functionally while fostering an inclusive team culture.