Generative AI Engineer

AI Engineer – Production LLM Systems

Location: New York, NY — Hybrid, 2–3 days/week

Employment: Full-time

Base Salary: $200,000–$350,000 + competitive equity

Visa: Open to visa transfers, including H-1B

About the Role

We’re hiring an experienced AI Engineer to join a fast-growing, venture-backed AI startup building production-grade AI/LLM technology for large regulated enterprises.

This is a highly hands-on, high-ownership engineering role. You’ll take ownership of the technical build-out of a custom AI/LLM platform for a top-5 U.S. bank, working across architecture, backend development, AI/LLM systems, enterprise integrations, infrastructure, deployment, and production reliability.

This is not a research or prototype-focused position. We’re looking for an engineer who enjoys shipping real AI systems into production and solving complex technical problems end-to-end.

What You’ll Do

Own the end-to-end technical build and deployment of an enterprise AI/LLM platform.

Customize the core AI platform for a major financial institution’s environment.

Build and deploy production-grade LLM, GenAI and RAG systems.

Develop scalable backend services and APIs primarily using Python.

Own enterprise integrations, deployment, troubleshooting, and production reliability.

Work with Kubernetes, CI/CD and cloud infrastructure (AWS/GCP/Azure).

Collaborate closely with the core engineering team on architecture and product development.

Work directly with enterprise engineering stakeholders as a technical point of contact.

Diagnose complex production issues and independently drive them through resolution.

What We’re Looking For

6–12+ years of software, backend, ML, or AI engineering experience.

Strong hands-on Python/backend engineering experience.

Recent experience building and deploying LLM/Generative AI systems in production.

Experience with technologies such as RAG, LLM infrastructure, model serving, vector databases, or AI agents.

Strong experience with Kubernetes, Docker, cloud infrastructure, APIs and CI/CD.

Experience owning systems from architecture through production deployment.

Experience working directly with enterprise customers/stakeholders, ideally within fintech, banking, or another regulated industry.

Recent experience at a venture-backed AI startup (Series A–D) actively building innovative AI products.

Comfortable operating independently in a fast-moving startup environment.

Tech Stack

Python | LLMs | GenAI | RAG | Kubernetes | Docker | REST APIs | CI/CD | AWS/GCP/Azure

Why Join?

Own a high-profile AI deployment for a top-5 U.S. bank from day one.

Build real production AI rather than research projects or prototypes.

Join a small, deeply technical and execution-focused startup team.

Work directly with senior leadership with significant technical ownership.

Opportunity to grow into broader technical and team leadership as the company scales.

$200K–$350K base salary + competitive equity.

Hybrid working environment in New York City, 2–3 days per week.