About the role

  • AI Engineer developing and deploying Agentic AI systems and scalable back-end architectures at WorkNomads. Collaborating with a diverse team to integrate AI services and optimize solutions.

Responsibilities

  • Build and deploy Agentic AI systems
  • Develop scalable back-end architectures using Python
  • Design, implement and maintain AI agents from experimentation to production
  • Work on internal AI initiatives
  • Deploy AI services across cloud platforms (AWS, GCP, Azure)
  • Collaborate closely with colleagues to ship production-ready systems
  • Ensure clean integration of AI components with broader engineering infrastructure
  • Apply MLOps best practices to monitor, optimize, and scale AI solutions

Requirements

  • 4+ years of experience as an AI Engineer
  • Strong back-end development background (Python is a must)
  • Hands-on experience with Agentic AI frameworks and architectures
  • Experience with MLOps and deploying AI systems to production
  • Solid software engineering foundations (not purely Data Science-focused)
  • Bonus: DevOps and/or Data Analytics experience

Benefits

  • Flexible working hours
  • Competitive remuneration and social benefits
  • Remote work + optional coliving options for deep community connections
  • Growth opportunities; learn from experts, expand your craft, work across industries
  • Be part of something beyond work: culture, values, impact

Job title

Job type

Full Time

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

AWSAzureCloudGoogle Cloud PlatformPython

Location requirements

RemoteWorldwide

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