Applied AI Engineer - LATAM

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A1: Beginner
A2: Basic
B1: Intermediate
B2: Advanced Intermediate
C1: Advanced
C2: Proficient

Have you shipped and maintained LLM-based agents that handled real production traffic (beyond internal demos or side projects)? Optional: If yes, briefly describe the scale or a specific production challenge you solved. *

Have you built or operated a dedicated "Eval Pipeline" using tools like Braintrust, Langfuse, or custom scoring scripts? Optional: Briefly mention which scorers or metrics (e.g., faithfulness, robustness) you’ve implemented. *

Do you have experience debugging and fixing "non-deterministic" failures in LLM outputs at scale? Optional: Give a 1-sentence example of a failure mode you’ve mitigated (e.g., halluncinations, tool-calling errors). *

Are you fluent in Python and experienced with FastAPI, Django, and Celery in a production environment? *

Have you used advanced optimization techniques such as DSPy, DPO, or automated prompt tuning in a professional setting? Optional: Case you want, exemplify how you applied it *

Have you built multi-step agentic systems using LangGraph or similar frameworks (handling state, planning, or tool-use)?

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