Python AI
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Role details
Tech stack
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Requirements
Python Cloud-native application development Kubernetes Microservices and APIs Event-driven architecture CI/CD and DevOps practices
Experience integrating AI capabilities into enterprise applications would be highly desirable, including areas such as LLM integration, RAG, AI orchestration or agent frameworks, but this should complement strong engineering capability rather than replace it.
We’re looking for engineers who are comfortable working as part of an existing product and engineering team, following our technical direction, engineering standards and delivery approach, while contributing ideas and challenging where appropriate. The emphasis is on building and engineering excellence rather than consulting.
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Prepare application
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- Open in Claude
- Open in ChatGPT
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