Data Analytics AI Engineer

About the role

This role focuses on designing and building AI systems, specifically those powered by Large Language Models (LLMs), to enhance internal capabilities. The engineer will be responsible for analyzing extensive datasets to uncover strategic insights and establish crucial key performance indicators. A core part of the work involves monitoring and refining these AI models to ensure their ongoing effectiveness.

A significant aspect of this position is evaluating and quantifying the business impact of AI projects through structured experimentation. The engineer will ship and maintain production-ready analytics and AI applications, ensuring they are robust and performant. This requires a proactive approach to project ownership, managing initiatives from inception to completion.

Success in this role means driving data-driven decision-making within the company and effectively communicating findings to senior business stakeholders. The ability to leverage AI-assisted development tools will be key to accelerating delivery speed, contributing to a fast-paced environment where continuous improvement of AI solutions is paramount.

The competitive salary for this role ranges from $156,000 to $204,000, with a total compensation package that may include a target bonus and equity grant.

Skills that matter here

• AI/ML: This role requires experience in AI/ML engineering, focusing on designing, building, and refining AI models and solutions.
• SQL: Strong proficiency in SQL is necessary for analyzing large datasets and extracting strategic insights.
• Python: Solid Python experience is a strong plus for developing and maintaining AI applications and data analysis scripts.
• LLMs: Hands-on experience with Large Language Models, including prompt engineering and model evaluation, is central to designing new systems.
• CI/CD: Experience with CI/CD pipelines is required for shipping and maintaining production-grade analytics and AI applications.
• GitLab: Familiarity with GitLab or GitHub is needed for managing code and CI/CD processes.

Who this role suits

• A candidate with at least five years of experience in AI/ML engineering or a combined data analytics and AI role.
• Someone who is adept at defining key performance indicators and has a strong analytical background.
• An individual who can independently own projects and manage them end-to-end, influencing senior stakeholders.
• A professional with strong cross-functional communication skills, capable of explaining complex AI initiatives.

From the employer

What You'll Do

• Design and build LLM-powered systems and data agents that improve internal capabilities.
• Analyze large-scale datasets to surface strategic insights and define critical KPIs.
• Evaluate and quantify the business impact of AI initiatives through experimentation.
• Continuously monitor and refine AI models and solutions.
• Ship and maintain production-grade analytics and AI applications.
• Manage and influence senior business stakeholders, owning projects end-to-end.
• Leverage AI-assisted development tools to accelerate delivery speed.

What You'll Bring

Required

• 5+ years of experience in AI/ML engineering or a combined data analytics and AI role.
• Strong SQL proficiency; solid Python experience is a strong plus.
• Hands-on experience with LLMs, prompt engineering, and model evaluation pipelines.
• Strong analytical background with experience defining KPIs.
• Experience with CI/CD pipelines using GitLab or GitHub.
• Demonstrated ability to own projects independently.
• Strong cross-functional communication skills.
• Ability to work in the NYC office ~3 days a week.

Nice to Have

• Practical knowledge of Snowflake as a database agent platform.
• Experience with dbt for analytics engineering workflows.
• Familiarity with the digital assets, fintech, or Web3 domain.

What We Offer

• Competitive salary range of $156,000 - $204,000.
• Total compensation package may include a target bonus and equity grant.
• Generous benefits and a diverse, inclusive work environment.