LLM Application Engineer
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Summary
Engineer LLM-powered applications, build retrieval pipelines with vector DBs, design agent workflows, and optimize model quality, latency, and cost.
- Build LLM-powered applications
- Build retrieval using vector databases
- Create Orchestration Pipelines
- Debug AI systems end to end
- Design agent workflows
- Develop prompting and context engineering
- Enable structured outputs and tool calling
- Implement evaluation frameworks
- Implement observability tracing experimentation
- Integrate LLMs with tools and APIs
- Optimize model quality latency and cost