SeniorFull-timeHybridMelbourne VIC, AustraliaNew South Wales, AustraliaPosted 22 hours agoVerified 3 days ago
About the job
This job focuses on enhancing the Custom Agent Service, which manages the full agent lifecycle from configuration to execution. By improving the agent's execution core and knowledge retrieval processes, you will play a crucial role in delivering exceptional customer experiences. The team values collaboration and innovation, working together to tackle real-world challenges.
You'll be responsible for
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Improving agent execution core
Working directly on the code that decides what the agent does next, making it faster, more reliable, and more capable.📚
Enhancing knowledge retrieval
Balancing answer quality against latency and token cost across thousands of heterogeneous knowledge bases per deployment.🔗
Integrating actions and connectors
Ensuring reliable retries, timeouts, schema validation, and graceful degradation when connectors fail mid-execution.Key criteria
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Python expertise
5+ years of backend engineering with strong Python skills.View
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API integration experience
Proven experience integrating with Zendesk and third-party APIs.View
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Kubernetes knowledge
Experience managing applications on Kubernetes in production environments.View
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