AI Jobs in Web3

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Job Position Company Posted Location Salary Tags

Pragmatike

Madrid, Spain

$122k - $156k

Binance

Taipei, Taiwan

Tether

Sofia, Bulgaria

$90k - $125k

Tether

Montevideo, Uruguay

$90k - $125k

Tether

Rio De Janeiro, Brazil

$90k - $125k

Tether

Medellin, Colombia

$90k - $125k

Tether

Buenos Aires, Argentina

$90k - $125k

Tether

Stockholm, Sweden

$90k - $125k

Tether

Bucharest, Romania

$90k - $125k

Tether

Lisboa, Portugal

$90k - $125k

Tether

Warsaw, Poland

$90k - $125k

Tether

Milan, Italy

$90k - $125k

Tether

Dublin, Ireland

$90k - $125k

Tether

Budapest, Hungary

$90k - $125k

Tether

Tbilisi, Georgia

$90k - $125k

Pragmatike
$122k - $156k estimated
Madrid Spain
Apply

Location: Fully remote, EU timezone (CET +/- 2 hours)
Start date:
ASAP
Languages
: English is mandatory; French is a plus

We are hiring at Pragmatike to expand our team and drive the growth of our internal projects.

Our focus is on developing cutting-edge solutions in Cloud Computing, Blockchain, and Artificial Intelligence, while fostering a culture of collaboration and innovation. Joining us means being part of a passionate team where your ideas and skills directly contribute to shaping tomorrow's technologies.

If you're excited about working on ambitious projects in a dynamic and flexible environment, we'd love to hear from you!

Responsibilities

  • Design, build, and scale fullstack applications using React and Node.js

  • Collaborate closely with product and design to turn ideas into production-ready features

  • Own the full application lifecycle, including migrations and system evolution

  • Lead the transition from legacy monoliths to modern SPA architectures

  • Improve performance, reliability, and scalability across the stack

  • Establish and maintain shared components, tooling, and engineering standards

  • Design and maintain CI/CD pipelines

  • Participate in architectural discussions, code reviews, and technical decision-making

  • Contribute across all stages of the product lifecycle, from ideation to delivery

Required Qualifications

  • 5–6+ years of experience as a Senior / Lead / Principal Fullstack Engineer

  • MSc in Computer Science or a closely related technical field

  • Strong experience building SPAs with React

  • Solid backend experience with Node.js (Python or Go is a plus)

  • Experience owning full application lifecycles, including monolith decoupling and migrations

  • Strong understanding of CI/CD and modern deployment workflows

  • Experience with Solana and Solidity

  • Excellent communication skills and ability to collaborate across teams

Preferred Qualifications

  • Experience with Rails or legacy monolithic architectures

  • Exposure to Crypto, Blockchain, or AI-driven products

  • Familiarity with Docker, Kubernetes, and cloud infrastructure

Why Join Us:

  • Competitive salary commensurate with experience

  • Fully remote-friendly with flexible working hours

  • Access to cutting-edge AI and trading technologies



Pragmatike is dedicated to a fair, transparent, and inclusive recruitment process. We ensure that no applicant is discriminated against based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with the General Data Protection Regulation (GDPR), your personal data will be processed lawfully, fairly, and securely. We collect and use your personal data solely for recruitment purposes, including sharing it with our client(s) for employment consideration. You have the right to request access, correction, or deletion of your data at any time. We are committed to maintaining the confidentiality and security of your information throughout the recruitment process.

What an AI Developer does?

An AI developer is someone who creates and builds artificial intelligence systems

Their responsibilities may include designing and implementing algorithms, creating and training machine learning models, and deploying AI systems to solve practical problems

Additionally, they may be responsible for maintaining and improving existing AI systems, as well as collaborating with other teams or individuals to integrate AI technology into larger systems.