Analytics AI Engineer

Fireblocks
Tel Aviv
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Cross-functional communication","Collaboration","Self-motivation","Stakeholder communication"]

Build and deploy LLM-powered systems that improve product capabilities and customer experience at scale. Quantify the business impact of AI initiatives using rigorous experimentation, benchmarking, and model evaluation. Monitor and iterate on prompts and deployment practices, while using AI-assisted coding tools to accelerate delivery. Turn large-scale data into actionable insights by defining KPIs and translating analytics into recommendations.

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FursaFursa
Fireblocks
Fireblocks
2 months ago

Analytics AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Build and deploy LLM-powered systems that improve product capabilities and customer experience at scale. Quantify the business impact of AI initiatives using rigorous experimentation, benchmarking, and model evaluation. Monitor and iterate on prompts and deployment practices, while using AI-assisted coding tools to accelerate delivery. Turn large-scale data into actionable insights by defining KPIs and translating analytics into recommendations.
Location: Tel Aviv
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and build LLM-powered systems that improve product capabilities and customer experience.
  • •Evaluate and quantify the business impact of AI initiatives using experimentation, benchmarking, and model evaluation.
  • •Continuously monitor, refine, and evolve AI models and solutions through prompt engineering and deployment iterations.
  • •Leverage AI-assisted development tools (e.g., Cursor, Claude Code) to accelerate delivery speed and engineering velocity.
  • •Analyze large-scale datasets to surface insights, define and track critical KPIs, and translate findings into actionable recommendations.

Key Requirements

  • •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, with experience building and deploying production-grade AI applications.
  • •Practical knowledge of MCP, database agents, and semantic views/YAMLs, with Snowflake as a database agent platform (advantage).
  • •Strong analytical background, including defining KPIs and communicating data-driven recommendations to stakeholders.
Experience:5+ yearsAI/ML
Skills:Cross-functional communicationCollaborationSelf-motivationStakeholder communication
Languages:English
Tech Stack:LLMsPrompt engineeringFine-tuningModel evaluation pipelinesPythonSQLMCPDatabase agentsSemantic viewsYAMLsSnowflakeCursorClaude Code

Company Brief

Fireblocks
Provides institutional-grade digital asset custody, transfer, and settlement infrastructure enabling banks, exchanges, and enterprises to securely issue, store, and move cryptocurrencies and tokenized assets.
Industry: Fintech Infrastructure
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: New York, United States
Founded: 2018
WebsiteLinkedIn