LLM Application Engineer
Tasks
- 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
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Context engineering | Distributed Systems | Evaluation | Experimentation | JAX | Language Models | Large Language Models | Observability | OpenAI API | Prompt engineering | PyTorch | Python | REST APIs | 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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