TAGAT Foodtech
TAGAT Foodtech
TAGAT Foodtech develops integrated SaaS for businesses that produce and process animal protein, including poultry, swine, cattle, and fish. Its platform connects farm and field operations with factory-floor workflows, slaughterhouse processes, traceability, compliance, and final dispatch. Created through the combination of EDATA and SAG, the company helps B2B customers bring data governance and operational visibility across the protein value chain, using embedded AI to reduce information silos and support more efficient production management.

Web and Mobile Developer at TAGAT Foodtech (Hybrid, Brazil)

Build web and mobile applications, integrations, and AI-powered solutions for TAGAT Foodtech. This hybrid role uses .NET, Vue.js, Flutter, APIs, SQL, and LLM technologies.

Description

  • Build and improve web and mobile applications
  • Develop and integrate APIs and connected systems
  • Work with relational databases and SQL
  • Review code and support strong software development practices
  • Partner with the Development, Projects, and Support teams
  • Analyze technical issues and help define effective solutions
  • Attend technical discussions and client meetings when needed
  • Apply AI tools to development, analysis, documentation, testing, and troubleshooting
  • Evaluate and use generative AI and LLM capabilities in products and workflows
  • Help create solutions involving AI, model APIs, agents, and intelligent automation
  • Recommend enhancements to processes, products, architecture, and technical implementations
  • Track emerging technologies and help advance the technology ecosystem

Requirements

  • Professional experience in software development
  • Working knowledge of web and/or mobile development
  • Familiarity with .NET (C#), Vue.js, and/or Flutter
  • Understanding of APIs, integrations, and web services
  • Experience with relational databases and SQL
  • Familiarity with Git and version control practices
  • Knowledge of or interest in artificial intelligence and generative AI
  • Familiarity with large language models and AI-assisted development tools
  • Prompt engineering, context design, embeddings, RAG, or AI model APIs are advantageous
  • Motivation to use AI to improve productivity, quality, and problem-solving
  • Analytical and collaborative approach with a willingness to learn
  • Clear communication and effective teamwork
  • Experience integrating LLM and artificial intelligence APIs is advantageous
  • Knowledge of RAG, embeddings, and vector databases is advantageous
  • Experience with AI agents and intelligent automation is advantageous
  • Knowledge of AI tools for software development is advantageous
  • Experience with automated testing and CI/CD is advantageous
  • Knowledge of software architecture and design patterns is advantageous
  • Experience with cloud applications is advantageous
  • Interest in emerging technologies and the ability to learn quickly
  • Willingness to work under a PJ contractor arrangement

Benefits

  • Education allowance
  • Wellhub membership
  • Birthday day off
  • Maternity leave
  • Paternity leave

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