LLM Application Engineer
Tasks
- Build LLM-powered applications
- Build orchestration pipelines
- Create evaluation frameworks and datasets
- Debug AI systems end to end
- Design agent workflows
- Develop prompting and context engineering
- Implement observability and tracing
- Implement tool calling
- Integrate LLMs with APIs and tools
- Optimize quality latency and cost
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic Workflows | Context engineering | Distributed Systems | Evaluation | Experimentation | Information Retrieval | JAX | LLM orchestration | Observability | OpenAI API | Prompt engineering | PyTorch | Python | REST API | Retrieval-Augmented Generation | Structured Output | Tool-Calling | Vector Databases
Education
N/A
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