AI Engineer
For this role, we are specifically looking for AI Data Engineers, so strong and demonstrable data engineering experience is a key requirement, in addition to AI and LLM expertise.
IA agentive and LLMs

Fluent English is a MUST.

Experience building autonomous multi-step agents using LangGraph, LangChain or equivalent frameworks.
Design of custom tools (tool calling) that expose APIs and data sources to an LLM in a structured manner.
Prompt engineering focused on deterministic tasks, including output formatting, interpretation rules, temperature control, and model parameter tuning.
Integration with model-serving endpoints (Databricks Model Serving, Azure OpenAI, Anthropic, or others), including rate-limit management and error handling

Data Engineering
Databricks: Experience with notebooks, widgets, Unity Catalog (including Volumes), and Delta Lake.
Python: Experience with libraries such as pandas and openpyxl, as well as modular code development.
PySpark (production level): Reading and writing Delta tables, schema management, and data processing at scale.
Design and implementation of batch ingestion and data processing pipelines.

📌 Ingeniero de Datos AI Senior (Lima)
🏢 Amaris Consulting
📍 Lima