Senior AI Builder: Onsite NYC, Equity & Impact

AHU technology; New York, Northern (NY, KY); Hybrid; USD 140,000 - 300,000; Full time

Job summary

AHU technology seeks an AI Builder to lead applied AI initiatives for enterprise-grade agent systems in New York City. You will merge machine learning, product engineering, and customer discovery to transform complex workflows into reliable AI products.

The role is onsite, full-time and requires ownership across problem discovery, prototyping, deployment, and iteration, with close collaboration with customers and stakeholders to productize AI solutions.

Qualifications

• Experience in applied ML, reinforcement learning, product engineering, AI systems, or top-tier consulting.
• Strong ML fundamentals, including evaluation, training, problem decomposition, and quality measurement.
• Solid software engineering skills with Python, Java, C++, TypeScript, or JavaScript.
• Ability to work with customers, define high-value use cases, and build or scale end-user applications.
• High ownership mindset with a record of shipped work, not only coordination or research support.
• Able to work full-time on-site in New York City.

Responsibilities

• Build AI agents, evaluation systems, training workflows, and reinforcement learning environments.
• Lead applied AI projects from problem discovery through prototype, deployment, and iteration.
• Work directly with senior customers and stakeholders to understand workflows and productize AI solutions.
• Partner across research, product, and engineering to ship useful, reliable AI systems.
• Turn repeated AI patterns into reusable internal tools, playbooks, and platform abstractions.

Skills

Applied ML

Reinforcement learning

Product engineering

AI systems

Customer discovery

Ownership mindset

Python

Java

C++

TypeScript/JavaScript

Tools

Python

Java

C++

TypeScript/JavaScript

Job description

AHU technology seeks an AI Builder to lead applied AI initiatives for enterprise-grade agent systems in New York City. You will merge machine learning, product engineering, and customer discovery to transform complex workflows into reliable AI products.

The role is onsite, full-time and requires ownership across problem discovery, prototyping, deployment, and iteration, with close collaboration with customers and stakeholders to productize AI solutions.