About MincaAI
MincaAI is an AI-native insurance software company. HQ at Station F (Paris) x Mexico, operations across LatAm. We build production AI systems for enterprise insurance carriers across three pillars — underwriting, policy issuance, and claims. Real LLM pipelines. Real enterprise clients.
We are small, we move fast, and we ship into environments where being wrong is expensive.

The problem
Insurers and brokers exchange data as free text written by humans. No schema, no consistency. Before anything can be priced, quoted or underwritten, that text has to be resolved against large standardized industry catalogs — with a confidence score an underwriter acts on without double-checking it.
This is entity matching and ranking, at scale, in Spanish, in a regulated domain where a confidently wrong
answer is expensive.

What you will do
Design hybrid retrieval pipelines combining semantic, lexical, fuzzy, and structured search.
Build multi-stage ranking systems using embeddings, rerankers, and LLMs where they add measurable value.




Develop confidence calibration to determine when predictions should be auto-accepted or reviewed by humans.
Build evaluation pipelines, benchmark datasets, and experiment frameworks to measure quality improvements.
Deploy and operate production ML services with a focus on latency, reliability, and cost.
Work closely with insurance experts to continuously improve model performance using production feedback.

What we are looking for

Production AI & Machine Learning
5+ years of experience designing, building, and deploying production AI or Machine Learning systems.
Demonstrated ownership of an end-to-end ML system, from data and model development through deployment, monitoring, and continuous improvement.
Experience owning measurable quality metrics (e.g. search relevance, matching accuracy, recommendation quality) and using data to drive model improvements.
Active Learning or Human-in-the-Loop ML workflows.

Information Retrieval & Search

📌 # AI Engineer (Argentina)
🏢 MincaAI
📍 Argentina