Top Tech Jobs & Startup Jobs in NYC, NY

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 the engineering team to deliver AI solutions, manage projects, and mentor engineers while fostering innovation and collaboration.

The role involves building .NET services integrated with Azure OpenAI, designing AI workflows, developing observability metrics, and mentoring teammates.

The Principal Software Engineer-AI will lead the development of backend and orchestration systems for AI applications, mentor engineers, and drive multi-quarter initiatives while ensuring system reliability and performance at scale.

As a Lead Software Engineer at Thomson Reuters, you will innovate AI-driven software, build backend services, and lead cross-functional teams to enhance accounting workflows through automation and intelligence.

Lead a solutions engineering and incubation function to identify, prototype, and scale AI products with commercial potential; run technical AI due diligence for M&A; and lead science and engineering teams supporting Risk, Fraud, and Compliance, translating technical findings into strategic recommendations for leadership and deal teams.

As an Applied Scientist, you will design, build, and deploy AI solutions for legal document understanding, develop advanced models, and optimize AI applications for accuracy and efficiency.

Lead enterprise partner ecosystem strategy and net-new partner acquisition end-to-end: pipeline, diligence, deal structuring, executive alignment, launch governance, GTM execution, and performance management to drive revenue, differentiation, and customer outcomes.

As a Senior Software Engineer, you will build and own .NET services integrated with Azure AI, design retrieval pipelines, and develop workflows using agentic AI concepts.

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.