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 reliable orchestration pipelines
- Create evaluation frameworks and datasets
- Debug AI systems across model and backend
- Design agent workflows
- Develop prompting and context engineering
- Implement observability tracing and experimentation
- Implement tool calling for multi step execution
- Integrate LLMs with tools and APIs
- Optimize for quality latency and cost