Top Tech Jobs & Startup Jobs in NYC, NY

Lead production-grade ML systems: build data pipelines, training and evaluation workflows, and scalable GPU inference. Fine-tune and adapt large models (LoRA, QLoRA, SFT, DPO, distillation), optimize deployments for latency/cost/reliability, and collaborate with product and engineering to ship robust, observable model-driven features.

Work directly with leadership to drive high-priority cross-functional initiatives across engineering, product, hiring, operations, and business development. Lead projects end-to-end, build teams and processes, research markets and opportunities, and implement operational improvements to deliver measurable business outcomes.

Design, build, and operate ML infrastructure for training, evaluation, deployment, and inference. Improve reliability, scalability, latency, throughput, and cost. Create pipelines, observability, benchmarking, and tooling to enable fast experimentation and productionization of models while diagnosing regressions and bottlenecks.

Design, build, and ship LLM-powered applications and agent workflows. Integrate models with tools, databases, and services; develop prompting, tool-calling, retrieval, and evaluation systems; improve model behavior, reliability, latency, and cost; and establish observability, experimentation, and production practices for continuous improvement.

Design, build, and deploy AI-powered internal tools and intelligent workflows to automate People, Finance, Recruiting, and operations. Identify improvement opportunities, translate business needs into technical solutions, own end-to-end execution, and collaborate across teams to ship reliable production software and AI integrations.

Lead discovery and delivery of AI-powered internal tools that automate workflows across People, Finance, Recruiting and Operations. Translate business needs into technical solutions, design intelligent automations and integrations, and own end-to-end execution from concept to production in a small, hands-on team.

Design, build, and ship AI-powered internal tools and intelligent workflows to automate operations across People, Finance, Recruiting, and other teams. Own end-to-end execution from discovery to production, integrate AI services, work cross-functionally, and iterate on deployed systems.

Design and build AI-powered internal tools and automations to improve operations across People, Finance, Recruiting, and business workflows. Own end-to-end delivery from discovery to production, integrating APIs, databases, cloud infrastructure, and AI systems while collaborating with cross-functional teams.

Build and ship AI-native systems for a fintech app: AI agents, RAG/retrieval systems, tool-calling and automation for onboarding, KYC, support, risk, CRM and operations. Work with product and engineering to design reliable, low-hallucination, cost- and latency-aware solutions and turn manual processes into scalable AI-enabled systems.

Build and ship end-to-end product features across frontend, backend, APIs and databases. Implement customer and internal workflows (onboarding, accounts, payments, rewards, FX, KYC, risk). Translate ambiguous product problems into reliable systems with clean UX. Collaborate with product, design, mobile and AI engineers. Create internal tools and automation, and own post-release monitoring, debugging and improvements.