Camunda is the enterprise platform for agentic orchestration, enabling organizations to coordinate AI agents, people, and systems across complex business processes. The Senior Engineer will design, build, and operate enterprise-grade agentic AI systems, ensuring they are reliable, secure, and scalable within Camunda-orchestrated workflows.
Responsibilities:
- Design and implement production-grade agentic orchestration systems combining executable BPMN, Camunda workers/connectors, DMN, and AI components
- Design and build AI agents with clearly defined responsibilities, tools, memory strategies, and decision boundaries
- Engineer and govern context pipelines (static instructions, dynamic enrichment, RAG, constraints, evaluation signals) to ensure reliable model behavior
- Implement structured prompting, output enforcement, human-in-the-loop patterns, and guardrails for safe, controllable execution
- Build evaluation frameworks, feedback loops, and testing for deterministic and non-deterministic systems
- Operate agents in production (AgentOps): logging, monitoring, alerting, incident response, and continuous improvement
- Contribute to production infrastructure standards including CI/CD, environment separation, secrets management, and security fundamentals
Requirements:
- 5+ years experience designing, building, and operating production-grade systems (backend, platform, or full-stack) with Java/Spring, including scalable services, integrations, and APIs
- Proven AI Engineering experience building, testing and operating LLM-powered systems in production
- Hands-on experience with agent frameworks such as LangChain, LangGraph, CrewAI, or similar
- Practical experience with context engineering (RAG pipelines, retrieval strategies, structured outputs, evaluation signals)
- Demonstrated end-to-end ownership across design, implementation, deployment, and operations
- Solid understanding of cloud-native infrastructure and production operations (CI/CD, environment separation, secrets, monitoring, incident response)
- Experience with Camunda, BPMN, DMN, or other workflow/orchestration platforms
- Experience building reusable internal platforms, shared services, or developer enablement components
- Experience working in a Center of Excellence or similar cross-functional transformation environment
- Experience with Data Science and Machine Learning