Analytics AI Engineer
Fireblocks is a digital asset infrastructure platform that helps financial institutions, fintechs, and businesses store, transfer, issue stablecoins, and manage digital assets securely.
Maintainer signals as of 8/14/2026
Funding history
About Fireblocks
Fireblocks provides digital asset infrastructure for financial institutions, fintechs, and businesses handling digital assets at scale. Users can secure custody, issue stablecoins, tokenize assets, process payments, and manage wallets through a unified platform. The platform uses multi-party computation cryptography with policy-based governance to secure private keys and automate transaction workflows.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You design and build LLM-powered systems that improve products and customer experiences. You evaluate models through experimentation and benchmarking, refine prompts and deployment practices, analyze large datasets, define KPIs, and turn findings into actionable recommendations. You also use AI-assisted tools to accelerate delivery.
Requirements
- 5+ years of experience in AI or machine learning engineering or a combined data analytics and AI role
- Experience with LLMs prompt engineering fine-tuning and model evaluation pipelines
- Proficiency in Python and SQL
- Experience building and deploying production-grade AI applications
- Knowledge of MCP database agents and semantic views or YAMLs
- Strong analytical and communication skills
- Familiarity with digital assets fintech or Web3
Responsibilities
- Design and build LLM-powered systems
- Evaluate AI initiatives through experimentation and model evaluation
- Refine prompts and deployment practices
- Analyze large-scale datasets
- Define and track KPIs
- Translate analytical findings into product and business recommendations
- Use AI-assisted development tools
