Top Tech Jobs & Startup Jobs in NYC, NY

Design, build, and deploy production-grade legal AI solutions by translating legal user needs into robust software. Collaborate with AI engineers, apply prompt/LLM evaluation, use DevOps and Infrastructure-as-Code, practice TDD, mentor junior engineers, lead agile projects, and deliver end-to-end solutions for law firms and legal departments.

Lead the design and delivery of AI solutions for legal professionals. Mentor engineers, establish AI engineering practices, and ensure scalable architecture and quality across systems.

The Senior Applied Scientist will lead research projects in AI/ML for various legal and taxation solutions, focusing on developing scalable AI capabilities while mentoring junior team members.

The Lead Research Engineer will provide technical leadership, develop scalable ML solutions, and collaborate with teams to innovate and deliver products that enhance customer experiences in legal, accounting, and government sectors.

As Engineering Manager, you will manage a technical team, drive technical strategy, mentor developers, and ensure effective product delivery while aligning with organizational goals.

Lead design, build, and deploy large-scale search and information retrieval systems for legal and enterprise content. Own indexing, ingestion, ranking and re-ranking, semantic and hybrid retrieval, LLM-enhanced RAG architectures, evaluation frameworks, and production optimization. Mentor scientists, drive technical decisions, and partner with engineering to deliver reliable, scalable search services.

Lead full stack initiatives at Materia AI, developing AI-powered software for accounting with a focus on building user-centric applications and robust back-end systems.

Lead design and delivery of enterprise-scale AI systems (including RAG and multi-agent architectures), drive AI strategy and POCs, embed solutions with business units, mentor engineers, establish MLOps/LLMOps practices, and scale prototypes into production.

The Senior Software Engineer will build AI-driven backend systems for accounting, develop robust services, and collaborate with cross-functional teams.

Use specialist Private Equity legal expertise to research, write, edit, and maintain Practical Law content; support development and application of AI-powered legal solutions and internal AI editorial tools; liaise with lawyers and internal teams to ensure content reflects market practice.