Overview:
Caixa Mágica is looking for a AI / Data Engineer, focused on the development, maintenance, and evolution of application solutions, data, Machine Learning, and GenAI.
What will you do?
* Lead technical activities related to code development, maintenance, and optimization.
* Work with Python, PySpark, Databricks, and application technologies.
* Support the evolution of solutions in Microsoft Azure, including Azure Data Factory.
* Maintain and improve data and Machine Learning pipelines.
* Support the maintenance of regression and classification models in production.
* Develop and maintain GenAI solutions, including integrations with OpenAI APIs.
* Implement and maintain RAG solutions, single-agent and multi-agent architectures.
* Develop and maintain REST APIs.
* Ensure best practices in development, testing, documentation, and code quality.
* Support deployments, environment management, and troubleshooting.
What are we looking for?
* Up to 5 years of experience in similar roles.
* Bachelor’s degree in Computer Engineering, Software Engineering, or a similar field.
* Experience with Python, PySpark, and Databricks.
* Solid experience with Microsoft Azure and Azure Data Factory.
* Knowledge of Machine Learning, GenAI, and LLM-based architectures.
* Experience with LangChain, LangGraph, RAG and, preferably, Langfuse.
* Knowledge of SQL/PostgreSQL, vector databases, and document indexing.
* Experience with REST APIs, GitHub, pytest, SonarQube, and DevOps practices.
* Good communication skills, critical thinking, and problem-solving ability.
* English required; Portuguese and Spanish are valued.
* Knowledge of Agile, JIRA, and Confluence is valued.
What can you expect from us?
* A permanent job contract for a long term project;
* Tech equipment + SIM Card + personal smartphone;
* Health and Life Insurance;
* Social events and team buildings;
* The commitment of letting you grow with us, and be rewarded accordingly;
* A dynamic and young team that will be always there to support you;
* Training in the latest technologies;
* Coffee, fruits, snacks and a warm welcoming when you pass by the office.