Software Engineer Jobs in New York, New York

The Java Developer will build, maintain, and support scalable enterprise applications for New York City’s CITYTIME automated timekeeping system. The role spans full-lifecycle Java development, performance optimization, testing, troubleshooting, and collaboration with cross-functional teams.

Expert Backend Engineer developing scalable, distributed backend components for a cloud security platform used by major enterprises. The role focuses on architecture, performance, reliability, and end-to-end delivery in a hybrid New York setting.

Lead the design of large-scale multilingual data pipelines and experiments that improve the multilingual capabilities of open large language models. This role combines data engineering, evaluation, and research across high- and low-resource languages.

Lead the development of enterprise-grade GenAI solutions that transform YouTube’s business GTM operations. This forward-deployed role combines consulting, product strategy, applied AI, and systems engineering to move AI prototypes into production.

Build and operate the backend services powering OpenAI’s Responses API, bringing frontier model capabilities and dependable agent workflows to developers. This role combines distributed systems engineering, API product judgment, and production reliability.

Lead the design and delivery of scalable, responsible generative AI platform services, including foundation model training, LLM inference, similarity search, guardrails, evaluation, and observability. The role combines advanced AI systems engineering with optimization of production performance, cost, latency, and throughput.

Citi is seeking a hands-on Senior AI Engineer to build and deploy agentic AI and generative AI solutions for banking technology. The role combines full-stack engineering, LLM-driven workflows, rapid prototyping, and production-scale delivery.

Build foundational AI systems at Capital One, including foundation model training, LLM inference, similarity search, guardrails, evaluation, and observability. The role focuses on optimizing scalable production AI systems for performance, cost, latency, and throughput.