Senior Data Developer / AI Solutions Developer

New
C
CI&TSupply chain analytics
Listing location: Brazil; Workplace type: Remote; Structured job location: BrazilFull-TimeSenior
Salary not disclosed
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Job Details

Languages
Good English communication skills - High Intermediate level - B2 CEFR
Required Skills
PostgreSQLPythonSQLETLJavascriptTypeScriptReactRESTful APIs

Requirements

  • Demonstrate proficiency in Python and JavaScript/TypeScript.
  • Have experience with modern frontend frameworks such as React.
  • Have REST API development and PostgreSQL database skills.
  • Demonstrate advanced SQL knowledge and query optimization experience.
  • Have experience with Google BigQuery and data integration frameworks.
  • Have experience with ETL development and CI/CD concepts.
  • Have experience integrating LLMs into applications and with prompt engineering.
  • Have good English communication skills at High Intermediate level (B2 CEFR).
  • Nice to have: familiarity with containerization and deployment best practices.
  • Nice to have: experience in supply chain, manufacturing, planning, logistics, inventory management, procurement, or quality systems.
  • Nice to have: knowledge of SAP integrations and AI application deployment in operational environments.

Responsibilities

  • Design and develop internal applications supporting supply chain, logistics, manufacturing, planning, procurement, and operations.
  • Create user interfaces for data management, workflow execution, AI-assisted recommendations, reporting, analysis, and operational decision support.
  • Develop APIs and backend services that support business processes.
  • Implement AI and machine learning capabilities, including integrations with LLMs, RAG, AI agents, predictive models, and optimization models.
  • Build workflows that operationalize AI insights in business processes.
  • Design and maintain PostgreSQL databases, schemas, stored procedures, views, and ETL/ELT pipelines; optimize SQL performance and database efficiency.
  • Build and maintain integrations with BigQuery, SAP, REST APIs, Microsoft 365, SharePoint, Teams, and third-party SaaS platforms.
  • Package applications in Docker containers and support deployment, configuration, secrets management, SSL setup, and container monitoring.
  • Produce and maintain technical specifications, system architecture documentation, data models, API documentation, and deployment guides.
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