LLM Application Engineer
Summary
Engineer LLM-powered applications, 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 the stack
- Design AI agent workflows
- Develop prompt and context engineering
- Implement observability tracing and experimentation
- Integrate LLMs with APIs and tools
- Optimize AI systems for quality latency and cost
- Orchestrate reliable tool calling workflows