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