Senior Backend Engineer, AI Orchestration
New
GermanyFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- PythonJavaTypeScriptLangChainDistributed Systems
Requirements
- Strong professional experience building and maintaining production-grade backend systems using Java.
- Hands-on experience with AI agent frameworks such as LangChain4j or comparable technologies.
- Solid understanding of how agentic AI systems operate, including tool calling, workflow state management, retries, error handling, and execution lifecycles.
- Experience designing reliable, scalable backend services where correctness, observability, and resilience are essential.
- Practical experience deploying and supporting AI-powered systems in production environments.
- Familiarity with cloud-native architectures, distributed systems, containerization, and orchestration technologies is highly desirable.
- Strong analytical and problem-solving skills with the ability to design robust backend solutions for complex technical challenges.
- Comfortable working in a collaborative, remote-first environment with cross-functional engineering and product teams.
- Experience with Python or TypeScript AI ecosystems is a plus, provided there is strong Java expertise and willingness to build production systems in Java.
Responsibilities
- Design and develop core execution primitives that enable reliable AI workflow orchestration within the platform's backend engine.
- Build, maintain, and enhance integrations with large language model providers and AI agent frameworks.
- Collaborate with product and engineering teams to transform real-world AI use cases into reusable orchestration patterns and blueprints.
- Ensure AI workflow executions are fully observable, traceable, and easy to debug through robust monitoring and diagnostics capabilities.
- Improve the reliability, scalability, and fault tolerance of AI execution pipelines by implementing retry strategies, state management, branching logic, and failure recovery mechanisms.
- Contribute to backend architecture decisions and continuously improve platform performance and maintainability.
- Stay informed about emerging AI orchestration technologies and recommend improvements to enhance platform capabilities.
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