Camunda
AI Process Forward Deployed Engineer
About this role
Camunda is seeking Forward Deployed Engineers to launch ProcessOS, a natural-language business process automation product, into enterprise production. You'll own end-to-end deployments with customers, write code across Java and React, and shape both the product and the emerging field practice from day one.
What you'll do
- Own complete deployment journey from initial process file to production workflow with measurable improvements
- Collaborate with customers across technical and business teams to drive adoption and lasting capability
- Debug integration failures, configure Camunda clusters, and build custom agents for enterprise systems
- Contribute product improvements directly—fix bugs, develop features, and create skill files based on customer needs
- Document deployment patterns and create playbooks to accelerate future customer implementations
- Train and hand off customer teams to operate independently with continuous improvement capabilities
What they're looking for
- Java services development
- React interfaces
- Enterprise production deployment and operations
- Camunda cluster configuration and troubleshooting
- AI/agent implementation and prompt engineering
- BPMN workflow understanding and communication
- Stakeholder management across technical and business groups
- API integration and legacy system connectivity
Benefits
- Fully remote, globally distributed team
- Opportunity to shape a product and field function from inception
- 2025 Great Place to Work certified
- Ranked 3rd in Flexa's Most Flexible Companies 2026
- Meaningful work with visible customer impact
- Access to cutting-edge AI orchestration platform
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Camunda
Camunda builds business process automation and CI/CD infrastructure platforms, with emerging focus on AI-powered process orchestration through products like ProcessOS. The company is hiring Software Engineers for infrastructure scaling and Forward Deployed Engineers to drive enterprise customer deployments across Java and React tech stacks.
- Website
- camunda.com
Likely interview questions
- Walk us through a time you deployed a complex system into production at an enterprise customer and had to stay through the operational phase. What went wrong, and how did you handle it?
- You're handed a BPMN workflow generated from natural language that's failing in production. How would you approach debugging it, and what would you do if the issue was in the AI agent logic itself?