Chainalysis

Prompt Engineer

6.0/10
Chainalysis
Not specified
Office / on-site
mid
about 3 hours ago
AI SummaryVerified by Aipplify AI

The vacancy is well-defined but lacks compensation details, impacting overall quality.

AI quality score6.0 / 10

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Overview

Join Chainalysis as a Prompt Engineer in Tel Aviv, where you'll design and optimize prompts for LLM models, analyze data, and contribute to AI-powered fintech solutions. The engineering team at Chainalysis is inspired by solving the hardest technical challenges and creating products that build trust in cryptocurrencies. We’re a global organization with teams in Denmark, UK, Canada, the USA who thrive on the challenging work we do and doing it with other exceptionally talented teammates. Our industry changes every day and our job is to create user facing products supported by a flexible and scalable data platform allowing us to adapt to those rapid changes and bring value to our customers. We are building the data platform for blockchain, cryptocurrency, and web3. Our engineers deeply understand what is possible with cloud-native technologies and use those insights to enable our customers to push the boundaries of the cryptocurrency landscape. Our Alterya team is focused on AI-powered fintech and threat intelligence, empowering institutions to protect individuals from fraud transactions.

In this job, you'll

  • β€’Build LMM prompts and data flows
  • β€’Research the web to find and define types of scams and scammers
  • β€’Analyze and monitor our data pipelines using SQL
  • β€’Work with Big Data Databases
  • β€’Research customer and team requirements, analyze fraudulent and scam activity online, and create data-driven solutions to detect scammers effectively

We’re looking for candidates who have

  • β€’2+ years’ experience as a data analyst
  • β€’Excellent analytical skills
  • β€’Strong SQL skills with experience in querying large, complex data sets
  • β€’Experience with Python data functions
  • β€’Fluent English (written & verbal)
  • β€’Good interpersonal communication skills
  • β€’Quick grasp of new data and data systems
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