LLM Application Engineer
Tasks
- 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
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Distributed Systems | Evaluation | Experimentation | JAX | Observability | OpenAI API | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | Structured outputs | Tool-Calling | Tracing | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Application Engineer | Engineer | LLM Application Engineer
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