Beschreibung
Accountabilities
- Develop, enhance, and maintain AI agents and orchestration capabilities using Python, LangGraph, and LangChain.
- Build and extend AI-enabled guided workflows, intelligent automation solutions, and enterprise AI capabilities.
- Design, implement, and optimize conversational AI applications and chat-based user experiences.
- Develop agent planning, state management, orchestration, memory, tool-calling, and response-generation capabilities.
- Integrate AI agents and applications with enterprise platforms, backend services, APIs, and external tools.
- Support modern AI integration frameworks and agent communication patterns to enable reliable interactions between AI systems.
- Implement AI observability, monitoring, telemetry, evaluation, and performance-tracking capabilities.
- Collaborate with engineering teams and business stakeholders to define technical approaches and deliver AI-powered business use cases.
- Troubleshoot complex technical issues, strengthen application reliability, and optimize system performance.
- Contribute to architecture discussions, engineering standards, reusable components, testing practices, and scalable AI development methodologies.
- Support the continuous improvement of enterprise AI platform capabilities, ensuring solutions remain maintainable, secure, and production-ready.
- Requirements At least 8 years of hands-on experience in Python development and enterprise application engineering.
- At least 2 years of practical exper
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