Data AI Engineer
Castle Island Ventures is a venture capital firm focused exclusively on public blockchains, investing in early-stage companies at the intersection of traditional finance and public blockchains.
About Castle Island Ventures
Castle Island Ventures is a venture capital firm focused exclusively on public blockchains. Their mission is to support entrepreneurs building the infrastructure and application companies required to help transformative blockchain protocols reach their full potential. They describe their focus as 'accelerating frictionless finance,' investing in early-stage companies operating at the intersection of traditional finance and public blockchains. The firm also produces a podcast and newsletter covering topics in this space, and maintains a portfolio of companies whose open roles are listed on their jobs board.
Skills
About the Role
You will design and build LLM-powered systems that directly enhance product capabilities and customer experience, empowering Product, Engineering, and Business teams to make faster, data-driven decisions at scale. You will evaluate and quantify the business impact of AI initiatives through rigorous experimentation, benchmarking, and model evaluation to continuously optimize LLM performance. You will monitor, refine, and evolve AI models and solutions, iterating on prompt engineering and deployment practices to keep pace with advancing capabilities and business needs. You will use AI-assisted development tools like Cursor and Claude Code to accelerate delivery speed and engineering velocity. You will analyze large-scale datasets to surface strategic insights, define and track critical KPIs, and translate analytical findings into actionable recommendations.
Requirements
- Strong analytical background with experience defining KPIs and communicating data-driven recommendations
- 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 - Snowflake as a database agent platform - advantage
- Strong cross-functional communication skills
- Self-motivated and collaborative, able to operate independently within a global team
- Familiarity with the digital assets, fintech, or Web3 domain - advantage
Responsibilities
- Design and build LLM-powered systems that improve product capabilities and customer experience
- Evaluate and quantify the business impact of AI initiatives through experimentation, benchmarking, and model evaluation
- Monitor, refine, and evolve AI models and solutions by iterating on prompt engineering and deployment practices
- Leverage AI-assisted development tools to accelerate delivery speed and engineering velocity
- Analyze large-scale datasets to define and track KPIs and translate findings into recommendations