LLM Application Engineer
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Summary
Engineer LLM-powered apps, design agent workflows, and optimize AI systems for quality, latency, and cost.
- Build LLM-powered applications
- Build evaluation frameworks and datasets
- Debug AI systems across model and backend stack
- Design AI agent workflows
- Develop prompting and context engineering
- Establish observability tracing and experimentation practices
- Implement tool calling workflows
- Integrate LLMs with tools and APIs
- Optimize quality latency and cost
