Data Analytics AI Engineer

About the role

As a Data Analytics AI Engineer at Fireblocks, you will design and implement systems powered by large language models (LLMs) while analyzing extensive datasets to extract valuable insights. This role is crucial for driving data-informed decisions within a fast-paced environment.

You will work with senior business stakeholders to manage projects from inception to completion, continuously refining AI models and applications. Collaboration with cross-functional teams will be key to successfully influencing business strategies and improving internal capabilities.

The salary range for this position is between $156,000 and $204,000, reflecting competitive compensation for the role.

Skills that matter here

• AI/ML: This role involves designing LLM-powered systems and evaluating AI initiatives.
• SQL: Strong SQL proficiency is required for analyzing large datasets and defining KPIs.
• Python: Solid Python experience is beneficial for developing analytics and AI applications.
• LLMs: Experience with LLMs is essential for building and refining data agents.
• CI/CD: Experience with CI/CD pipelines using GitLab or GitHub is necessary for maintaining production-grade applications.
• GitLab/GitHub: Familiarity with these tools is important for managing development workflows.

Who this role suits

• A candidate who thrives in collaborative environments and communicates effectively across teams.
• Someone with a strong analytical mindset and the ability to define and track KPIs.
• An individual who is proactive and can independently manage projects from start to finish.
• A professional with a solid background in AI/ML engineering or data analytics.

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.