AI Engineer
Tasks
- Build evaluation pipelines for LLM responses
- Design prompt templates with conditional logic
- Develop scoring systems for hallucination root cause analysis
- Fine tune models for domain specific requirements
- Implement structured outputs with schemas
- Make model and prompt deployment decisions from benchmarks
- Run AI A B testing across models
- Set up Langfuse tracing for debugging and optimization
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | Debugging | Fine Tuning | Function Calling | JSON | LLM Observability | Langchain | Langfuse | Llamaindex | Next.js | Node.js | OpenRouter | Prompt engineering | Python | RAG | Ragas | Reranking | Retrieval-Augmented Generation | Schema Validation | Structured outputs | Tracing | TypeScript | Zod
Education
N/A
Roles
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