Web3 Jobs & Crypto Jobs Where crypto teams hire. Where builders get found.
The #1 crypto-native job board for web3 jobs, crypto jobs & blockchain vacancies. Every role in the ecosystem — dev, design, marketing & more. Remote-first at top protocols, DAOs & companies.
By using web3vacancy you agree to our Terms of Service and Privacy Policy.
Latest Crypto Job Vacancies
No applications. Teams find and message you directly.
Join Fireblocks as a Data Analytics AI Engineer to design LLM-powered systems, analyze large datasets, and drive AI initiatives in a fast-paced environment.
About the Role
Fireblocks is seeking a Data Analytics AI Engineer to join the global Data team, which partners closely with Product, Engineering, and Business stakeholders to power data-driven decision making and AI-driven products across Fireblocks. The team operates in a fast-paced, high-growth environment, building AI solutions, data foundations, and analytical frameworks that directly influence product strategy and customer outcomes.
Responsibilities
- Design and build LLM-powered systems that directly improve product capabilities and customer experience—enabling Product, Engineering, and Business teams to make faster, smarter, data-driven decisions at scale
- Evaluate and quantify the business impact of AI initiatives through rigorous experimentation, benchmarking, and model evaluation to continuously optimize LLM performance
- Continuously monitor, refine, and evolve AI models and solutions—iterating on prompt engineering and deployment practices to keep pace with rapidly advancing capabilities and shifting business needs
- Leverage AI-assisted development tools (e.g., Cursor, Claude Code) to accelerate delivery speed and engineering velocity across the team
- Analyze large-scale datasets to surface strategic insights, define and track critical KPIs, and translate analytical findings into actionable product and business recommendations
Requirements
- Strong analytical background—experience defining KPIs and communicating data-driven recommendations to stakeholders
- 5+ years of experience in AI/ML engineering or a combined data analytics and AI role
- Hands-on experience with LLMs, prompt engineering, fine-tuning, and model evaluation pipelines
- Proficiency in Python and SQL; experience building and deploying production-grade AI applications
- Practical knowledge of MCP, database agents, and semantic views/YAMLs
- Strong cross-functional communication skills—able to present AI concepts and outcomes to both technical and non-technical audiences
- Self-motivated and collaborative, with the ability to operate independently within a global team
Nice to Have
- Snowflake as a database agent platform
- Familiarity with the digital assets, fintech, or Web3 domain
Location
Tel Aviv, IL