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python kubernetes typescript graphql api design📋 Description
- Real-time speech pipeline: buffering, streaming, latency optimization.
- The Conversation Intelligence: LLM prompts, context, function calls, dialogue management.
- Actions and Integrations: execute tasks during calls, lookup data, create tickets.
- Knowledge and Memory: ingest/store/retrieve knowledge; memory across conversations.
- Agent Lifecycle and Configuration: design, test, deploy voice agents with UX.
- Evaluations and Quality: post-call analytics, metrics, Datadog instrumentation, on-call rotation.
🎯 Requirements
- Production backend in Python or TypeScript; 5+ years for senior roles.
- Async code, performance and reliability; shipped systems.
- Real-time vs request/response; latency tradeoffs.
- Experience with LLMs/AI in production; prompts, context, function calling.
- Evaluation tooling and quality metrics.
- Event-driven architectures, queues, caching, async processing.
🎁 Benefits
- Competitive salary and equity
- 100% covered medical, dental, and vision
- 401k with company matching
- Unlimited PTO
- Wellness, commuter, and childcare reimbursements
- Generous parental leave
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