Artificial Intelligence Engineer

AI Engineer – Agentic AI | Series A - E Startup | NYC Hybrid | $180K–$280K + Equity

Join a fast-growing, VC-backed AI startup that's transforming healthcare through cutting-edge AI.

We're partnering with an innovative Series A - E startup that's building an AI-powered platform to automate complex financial workflows within the healthcare industry. This is a unique opportunity to join a small, high-impact engineering team and help build an agentic AI platform from the ground up.

If you're passionate about production AI, autonomous agents, and solving real-world problems with Large Language Models, we'd love to hear from you.

New York City (Hybrid) – Minimum 3-4 days per week in the office

• Equity: Meaningful equity package

About the Role

As an AI Engineer
, you'll play a key role in designing, building, and deploying production-grade AI systems that automate complex workflows using Large Language Models and multi-agent architectures.

This is a true zero-to-one opportunity
, where you'll have significant ownership over product direction, technical architecture, and AI system design.

What You'll Do

• Design and build production-ready AI agents and agentic workflows
• Develop LLM-powered applications using modern prompting, RAG, and retrieval techniques
• Build scalable AI systems using Python and modern ML frameworks
• Design multi-agent orchestration pipelines for complex reasoning tasks
• Optimize AI models for production performance and reliability
• Collaborate closely with product and engineering teams to deliver impactful AI solutions
• Experiment with emerging AI technologies and rapidly prototype new capabilities

Required Experience

• 3+ years of hands-on experience building production ML/AI systems
• Experience with Large Language Models (LLMs)
• Experience building or deploying AI agents or agentic workflows
• Knowledge of Retrieval-Augmented Generation (RAG)
• Experience deploying machine learning models into production
• Background working in fast-paced startup environments
• Excellent problem-solving and communication skills

Nice to Have

• Multi-agent orchestration frameworks
• Py Torch
• Transformers
• Temporal
• Lang Chain or Lang Graph
• Insurance or financial workflow automation
• AI infrastructure and MLOps
• PhD or advanced degree in Computer Science, Machine Learning, or a related field

Ideal Background

We're particularly interested in candidates who have worked at:

• AI-native startups
• VC-backed technology companies
• High-growth SaaS businesses
• Applied AI teams within leading technology organizations

Why Apply?

• Build production AI that solves real-world problems
• Join an early-stage, well-funded startup with significant growth potential
• Work alongside experienced engineers and founders
• High ownership with the opportunity to shape core AI architecture
• Competitive compensation and meaningful equity
• Collaborative hybrid work environment in New York City

If you're excited about building the next generation of intelligent AI systems and want to make a meaningful impact from day one, we'd love to connect.