AI Workflow Transformation Lead helping Cint transition to AI - enabled operating practices. Collaborating with teams to identify and implement AI improvements in workflows and processes.
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
Experience level
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Degree requirement
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