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Grupo Boticário

AI Engineer, Analyst III

Grupo Boticário

. Implement and maintain Artificial Intelligence integrations for the OMS, supporting order processing and analysis .

Posted 10/16/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Python programming, particularly in data structures and REST API integration, while effectively implementing and maintaining AI solutions for operational efficiency. Proficient in SQL and familiar with cloud platforms, contributing to the development of advanced AI architectures and workflows.

Highest-signal resume keywords
Python ProgrammingLLM API IntegrationSQL ProficiencyAWS/GCP/Azure KnowledgeData Science/Machine Learning Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Python ProgrammingREST API IntegrationSQLData StructuresObject-Oriented ProgrammingLangChainLlamaIndexLangGraphModel Context ProtocolCode Version Control with Git
Soft Skills
Hands-On MindsetRapid PrototypingUnderstanding User Journey
Tools & Technologies
OpenAIGeminiAnthropicAWSGCPAzure
Industry Keywords
Artificial IntelligenceOrder Management SystemRetrieval-Augmented GenerationConversational WorkflowsOperational Efficiency

Tech Stack

Tools & technologies
AWSAzureGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact
  • Implement and maintain Artificial Intelligence integrations for the OMS, supporting order processing and analysis
  • Create, test, and optimize prompts
  • Support the development and maintenance of Retrieval-Augmented Generation (RAG) pipelines
  • Connect AI models and conversational workflows with internal APIs, relational databases, and external retail/logistics tools
  • Support the monitoring of models in production, tracking hallucinations, latency, token usage, and costs
  • Work with product specialists to translate OMS business rules into simple and efficient agentic solutions
  • Rapidly prototype ideas to address short-term operational needs
  • Develop solutions that reduce analysis time and manual work for operational teams
  • Contribute to the evolution and progressive reconstruction of the product architecture
  • Identify opportunities to accelerate delivery with the cross-functional team

Requirements

What you’ll need
  • Strong knowledge of Python programming, including data structures, object-oriented programming, and consuming and creating REST APIs
  • Hands-on experience integrating LLM APIs, such as OpenAI, Gemini, and Anthropic
  • Familiarity with LangChain, LlamaIndex, or LangGraph
  • Proficiency in SQL and data formats such as JSON
  • Basic knowledge of AWS, GCP, or Azure
  • Knowledge of code version control with Git
  • Willingness to gain a deep understanding of the user journey and the business impact of solutions
  • Hands-on mindset and ability to rapidly prototype ideas
  • Preferred: Previous experience in Data Science/Machine Learning
  • Preferred: Knowledge of the Model Context Protocol (MCP) or advanced context architectures for LLMs, such as SDD
  • Preferred: Understanding of or interest in enterprise agentic solutions, LLM orchestration, and complex reasoning workflows

Benefits

Comp & perks
  • Flexible medical and dental plans
  • Medication assistance and healthcare allowance for family members
  • Free psychotherapy sessions and 24/7 telemedicine
  • Ongoing prevention, mental wellness, and vaccination programs
  • Meal voucher (or on-site restaurant) and food allowance, including an extra Christmas voucher
  • Up to 40% discounts on brands within our ecosystem
  • Gympass/TotalPass membership for gyms and sports studios
  • Home office allowance for hybrid and remote work arrangements
  • Birthday day off
  • Pet health insurance, partner benefits, and travel/accommodation programs
  • Extended parental leave (180 days for mothers and 120 days for fathers)
  • Support for parents of children with disabilities or special needs, plus childcare assistance
  • School supplies allowance and child nutrition benefit
  • Dedicated legal, psychological, and social support
  • Private pension plan and life insurance
  • Bereavement support following the loss of parents and payroll-deducted loans
  • Transportation allowance and parking (depending on the work model)