The vacancy is well-structured and informative, providing clarity on tasks, compensation, and company profile.
Job description
Fireblocks’ platform and network provide the simplest and most secure way for companies to work with digital assets, trusted by major financial institutions and Web3 companies worldwide.
Responsibilities
### 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.
Requirements
### 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.
Conditions
### 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.
About Fireblocks
Fireblocks provides enterprise-grade digital asset and stablecoin infrastructure, enabling secure storage, transfer, tokenization, and management of digital assets for financial institutions. It serves fintechs, exchanges, banks, trading firms, payments providers, Web3 businesses, and startups with solutions for payments, tokenization, and blockchain operations.