Fireblocks

1 month 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

Design and build LLM-powered systems with the global Data team to improve product capabilities and customer experience. You’ll evaluate AI initiatives through experimentation, benchmarking, and model evaluation, while continuously monitoring and refining deployments. The role also involves analyzing large-scale datasets to define KPIs and translate insights into actionable product and business recommendations, leveraging AI-assisted development tools to ship faster.

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, including prompt engineering and deployment practices.
•Leverage AI-assisted development tools (e.g., Cursor, Claude Code) to accelerate delivery speed and engineering velocity.
•Analyze large-scale datasets to define and track KPIs and translate analytical 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, including experience building and deploying production-grade AI applications.
•Practical knowledge of MCP and database agents, and familiarity with semantic views/YAMLs (Snowflake as a database agent platform is an advantage).
•Strong analytical background, including defining KPIs and communicating data-driven recommendations to stakeholders.

Experience:5+ years

Skills:Cross-functional communicationSelf-motivationCollaborationIndependent work

Languages:English

Tech Stack:LLMsPrompt engineeringFine-tuningModel evaluationPythonSQLCursorClaude CodeMCPDatabase agentsSemantic viewsYAMLSnowflake

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

Website LinkedIn

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Fireblocks

1 month 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

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, including prompt engineering and deployment practices.
•Leverage AI-assisted development tools (e.g., Cursor, Claude Code) to accelerate delivery speed and engineering velocity.
•Analyze large-scale datasets to define and track KPIs and translate analytical 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, including experience building and deploying production-grade AI applications.
•Practical knowledge of MCP and database agents, and familiarity with semantic views/YAMLs (Snowflake as a database agent platform is an advantage).
•Strong analytical background, including defining KPIs and communicating data-driven recommendations to stakeholders.

Experience:5+ years

Skills:Cross-functional communicationSelf-motivationCollaborationIndependent work

Languages:English

Tech Stack:LLMsPrompt engineeringFine-tuningModel evaluationPythonSQLCursorClaude CodeMCPDatabase agentsSemantic viewsYAMLSnowflake

Company Brief

Fireblocks

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

Website LinkedIn