LLM Application Engineer
Summary
Engineer LLM-powered applications, design agent workflows, and optimize AI systems for quality, latency, and cost using prompt engineering and tool integration.
- Build LLM-powered applications
- Build evaluation frameworks and datasets
- Debug AI systems end to end
- Design agent workflows
- Develop prompt and context engineering
- Implement observability tracing and experimentation
- Implement tool calling and structured outputs
- Integrate LLMs with tools APIs and services
- Optimize quality latency and cost
- Orchestrate reliable long running workflows