Senior Software Engineer AI

Posted 6 Hours Ago
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São Paulo, BRA
Hybrid
Senior level
Food • Greentech • Logistics • Sharing Economy • Transportation • Agriculture • Industrial
Reimagining what's possible for food and agriculture
The Role
Designs, develops and maintains AI-enabled software solutions with emphasis on Generative AI, LLMs and agent-based systems. Owns end-to-end delivery including architecture, coding, testing, deployment automation, monitoring, and Responsible AI practices while collaborating with cross-functional teams.
Summary Generated by Built In
Want tobuild a stronger, more sustainable future and cultivate your career? Join Cargill's global team of 160,000 employees who use new technologies, dynamic insights and over 154 years of experience to connect farmers with markets, customers with ingredients, and people and animals with the food they need to thrive.
Job Purpose and Impact
  • The Senior Professional, Software Engineering job designs, develops and maintains software applications and systems. With minimal supervision, this job collaborates with cross functional teams to define, design and implement new software features to meet user needs and business goals, and upgrade existing software to improve performance and functionality through writing clean, efficient and scalable code and troubleshooting and debugging complex issues. This job also participates in code reviews to maintain high code quality and share knowledge with software engineering team members.
  • In addition, this role plays a key part in designing and delivering AI‑enabled software solutions, with particular emphasis on Generative AI and intelligent agent‑based systems, applying strong software engineering discipline to AI solutions deployed in production environments.

Key Accountabilities
  • SOFTWARE DEVELOPMENT: Designs and develops high quality software solutions by writing clean, maintainable and efficient codes.
  • APPLIED GENERATIVE AI & INTELLIGENT SYSTEMS: Designs, builds and maintains AI‑enabled software solutions with strong emphasis on Generative AI, including large language models (LLMs), AI agents and AI‑driven workflows, ensuring scalability, security, reliability and Responsible AI principles.
  • AI AGENT DEVELOPMENT: Leads or significantly contributes to the implementation of AI agents and copilots, including reasoning workflows, prompt and orchestration design, tool and function integration, and interaction with enterprise APIs, data sources and platforms.
  • AUTOMATION: Leads the application of internal software deployment platform, methodologies and tools to automate the deployment process, ensuring smooth and reliable releases.
  • COLLABORATION: Partners with cross functional team of product managers, designers and different engineers to gather complex requirements and deliver solutions that meet business needs.
  • TESTING & DEBUGGING: Writes and maintains complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software.
  • CONTINUOUS IMPROVEMENT: Suggests options for improving the software development and deployment processes, and implements the approved standards to improve efficiency and reliability.
  • DOCUMENTATION: Builds and maintains comprehensive documentation for complex software applications, deployment processes and system configurations.
  • TECHNICAL SUPPORT: Provides technical support and troubleshooting for complex issues with deployed applications to ensure minimal downtime and fast resolution.
  • #LI-RJ2 #LI-Hybrid

Qualifications
  • Basic fluency in English language and working across multiple time zones with multiple cultures
  • Experience with Full Stack software development with languages
  • Proven, hands‑on experience delivering Generative AI solutions, including practical use of large language models (LLMs) in real, production‑grade systems
  • • Strong, practical experience building AI agents, copilots or intelligent assistants, including orchestration logic, prompt engineering, tool or function calling and system integration
  • • Demonstrated ability to own AI‑based solutions end‑to‑end, from design and development to deployment, monitoring and continuous improvement
  • • Ability to work independently and be productive from day one, leveraging prior market experience to solve complex business problems with Generative AI

Preferred Qualifications:
  • BA/BS in Computer Science, related technical field, or equivalent practical experience
  • Master's or PHD in computer science or related field
  • Demonstrated ability to lead technical teams
  • Experience with traditional ERP, CRM, and Database Platforms
  • Experience applying Generative AI in enterprise or regulated environments, balancing innovation with security, compliance and Responsible AI principles
  • • Experience with AI platforms, agent frameworks or orchestration patterns (e.g., retrieval‑augmented generation, multi‑agent systems)
  • • Experience partnering with product, data and business teams to translate business challenges into AI‑driven software solutions

#BI-Hybrid

Skills Required

  • Basic fluency in English and ability to work across multiple time zones and cultures
  • Experience with full stack software development
  • Proven hands-on experience delivering Generative AI solutions, including production-grade use of LLMs
  • Strong practical experience building AI agents, copilots or intelligent assistants (orchestration, prompt engineering, tool/function calling)
  • Demonstrated ability to own AI-based solutions end-to-end: design, development, deployment, monitoring and improvement
  • Ability to work independently and be productive from day one
  • BA/BS in Computer Science or related field (or equivalent practical experience)
  • Master's or PhD in Computer Science or related field
  • Demonstrated ability to lead technical teams
  • Experience with ERP, CRM, and database platforms
  • Experience applying Generative AI in enterprise or regulated environments with Responsible AI and compliance considerations
  • Experience with AI platforms, agent frameworks or orchestration patterns (e.g., RAG, multi-agent systems)
  • Experience partnering with product, data and business teams to translate business challenges into AI-driven solutions

What the Team is Saying

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The Company
HQ: Wayzata, MN
155,000 Employees
Year Founded: 1865

What We Do

We are a family company providing food, ingredients, agricultural solutions and industrial products to nourish the world in a safe, responsible and sustainable way. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials— from eggs to edible oils, salt to skincare, feed to flooring. By providing customers with products that are vital for living, we help businesses grow, communities prosper and consumers live well in their daily lives.

Why Work With Us

The decision to join Cargill can open the door to a world of possibility. As part of our Digital, Technology & Data team, you’ll get to be part of a large and diverse group full of unique perspectives united by a common, higher purpose while building a rewarding career full of opportunity, growth and the satisfaction of knowing your work matters.

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