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Artificial Intelligence Analyst – Mid/Senior
WTime Business IntelligenceAI Analyst developing generative AI solutions and intelligent OCR for corporate process automation in São Paulo. Collaborating with teams to innovate and integrate AI into corporate systems.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
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.
Highest-signal resume keywords
Python Software DevelopmentGenerative AI ModelsREST API IntegrationIntelligent Document ProcessingCloud Environments
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Node.jsSQLPrompt EngineeringAPI DevelopmentOCRJSONXMLMicroservicesDatabricksMicrosoft Fabric
Soft Skills
Analytical MindsetGood CommunicationTeamworkOrganizational SkillsAutonomous Work
Tools & Technologies
Google GeminiOpenAI (GPT)Azure OpenAIAmazon BedrockTesseractOracleSQL ServerMongoDBGoogle Document AIAmazon Textract
Industry Keywords
Generative AIIntelligent Document Processing (IDP)Legacy Systems IntegrationRAG (Retrieval-Augmented Generation)Function Calling
Tech Stack
Tools & technologiesAWSAzureCloudJavaScriptMongoDBNode.jsOraclePythonSOAPSQL
About the role
Key responsibilities & impact- 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
What you’ll need- 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.
Benefits
Comp & perks- Health benefits
- Professional development
- Flexible working hours