LLM Application Engineer
Summary
Engineer LLM-powered applications, design agent workflows, and optimize AI systems for quality, latency, and cost using orchestration pipelines and tool integration.
- Build LLM-powered applications
- Build evaluation frameworks and datasets
- Create reliable orchestration pipelines
- Debug AI systems end to end
- Design agent workflows
- Develop prompting and context engineering
- Establish observability tracing and experimentation in production
- Implement tool calling
- Integrate LLMs with external tools
- Optimize AI systems for quality latency and cost