LLM Application Engineer
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Summary
Engineer LLM-powered applications, design agent workflows, and optimize AI quality, latency, and cost for production deployment.
- Build LLM-powered applications
- Create evaluation frameworks and datasets
- Debug AI systems across model and backend
- Deliver production ready AI features
- Design agent workflows
- Implement observability tracing and experimentation
- Improve prompting and context engineering
- Integrate LLMs with APIs and tools
- Optimize AI quality latency and cost
- Orchestrate reliable tool calling and actions