Artificial Intelligence Analyst – Mid/Senior

Jobtailor

São Paulo

Presencial

BRL 120 000 - 180 000

Tempo integral

14 dias+

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Resumo da oferta

Jobtailor in Brazil is seeking a skilled AI/ML engineer to develop solutions using Generative AI for document reading and interpretation. You will craft prompts, integrate AI platforms with corporate systems, and build APIs for model consumption.

OCR enhancements and collaboration with cross-functional teams are required to ensure high-quality model responses. The role emphasizes production-grade AI projects, cloud environments, and experience with enterprise systems, including Oracle.

Qualificações

Software development experience using Python and/or Node.js.
Knowledge of consuming and integrating REST APIs.
Knowledge of SQL.
Experience integrating enterprise systems.
Knowledge of prompt engineering.
Knowledge of generative AI models.
Experience with legacy Oracle systems is desirable.

Responsabilidades

Develop solutions using Generative AI for document reading and interpretation.
Create and refine prompts for language models to improve accuracy.
Develop integrations between AI platforms and corporate systems, especially legacy Oracle applications.
Contribute to building APIs and services for consuming AI models.
Support intelligent OCR initiatives for structured information extraction.
Work closely with development, architecture, and business teams to implement solutions.
Perform testing, validation and monitoring of model response quality.
Document solutions and share best practices related to AI usage.

Conhecimentos

Python

Node.js

REST API integration

SQL

Prompt engineering

Generative AI models

Cloud environments

Ferramentas

Google Gemini

OpenAI GPT

Anthropic Claude

Meta Llama

Azure OpenAI

Amazon Bedrock

Tesseract

ABBYY

Oracle

SQL Server

MongoDB

Databricks

Microsoft Fabric

Google Document AI

Amazon Textract

Descrição da oferta de emprego

Develop solutions using Generative AI for document reading and interpretation.
Create and refine prompts for language models (LLMs) to improve accuracy and efficiency.
Develop integrations between AI platforms and corporate systems, especially legacy Oracle applications.
Contribute to building APIs and services for consuming AI models.
Support intelligent OCR initiatives for structured information extraction.
Work closely with development, architecture and business teams to implement solutions.
Perform testing, validation and monitoring of model response quality.
Document solutions and share best practices related to AI usage.

Requirements

Software development experience using Python and/or Node.js.
Knowledge of consuming and integrating REST APIs.
Knowledge of SQL.
Experience integrating enterprise systems.
Knowledge of prompt engineering.
Knowledge of generative AI models.
Preferred: experience with one or more of the following technologies and solutions:
Google Gemini
OpenAI (GPT)
Anthropic Claude
Meta Llama
Azure OpenAI
Amazon Bedrock
OCR and Document Processing
Gemini Vision
Google Document AI
Azure Document Intelligence
Amazon Textract
Tesseract
ABBYY
Oracle (experience with legacy systems desirable)
SQL Server
MongoDB (plus)
REST APIs
JSON
XML
SOAP
OAuth/JWT
Microservices
Experience integrating with legacy Oracle systems.
Knowledge of Intelligent Document Processing (IDP).
Experience with generative AI projects in production.
Knowledge of Databricks or Microsoft Fabric.
Experience in cloud environments (Google Cloud, Azure, or AWS).
Knowledge of RAG (Retrieval-Augmented Generation), Function Calling, and AI agents.
Analytical and investigative mindset.
Quick to learn new technologies.
Good communication and teamwork skills.
Organized and able to work autonomously.
Interest in innovation and Artificial Intelligence.
Ability to translate business problems into technological solutions.

Core Competencies

Demonstrates expertise in developing solutions using Generative AI, integrating AI platforms with corporate systems, and implementing intelligent document processing. Proficient in prompt engineering and API development to enhance model performance and accuracy.

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