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Job Purpose and Impact

• Cargill’s Global Impact DT&D team is seeking a Software Engineer – Full Stack (GenAI) to support the development of innovative, AI-powered digital solutions that drive sustainability and Global Communication initiative.

  This role will contribute to building end-to-end applications leveraging Generative AI technologies, including LLMs, Retrieval-Augmented Generation (RAG), and intelligent document processing systems. The ideal candidate is a hands-on engineer with strong expertise in Python (backend) and React (frontend), and a passion for applying emerging AI technologies to solve real-world challenges.

Key Accountabilities

• Design, develop, and maintain full-stack applications using Python (FastAPI) and React
• Contribute to the development and integration of Generative AI solutions, including LLMs, RAG pipelines, and embedding-based retrieval systems
• Build and integrate RESTful APIs and backend services to support scalable applications
• Develop and optimize data pipelines for structured and unstructured data processing
• Integrate AI/ML services (e.g., OpenAI, Azure OpenAI) into enterprise applications
• Ensure code quality, performance, and scalability through best engineering practices
• Collaborate with cross-functional teams (Product, Data, Sustainability, Business stakeholders)
• Participate in code reviews, testing, debugging, and performance optimization
• Utilize Git-based workflows and contribute to CI/CD processes
• Stay updated with emerging trends in AI, cloud, and full-stack development

Qualifications

• Required Skills & Competencies
  • Demonstrated proficiency in Python-based backend development
  • Strong experience in frontend development using React
  • Proven experience working with Generative AI technologies, including LLMs and RAG frameworks
  • Hands-on experience with LangChain (or similar frameworks) and vector databases
  • Proficiency in Git version control and collaborative workflows
  • Experience with databases (PostgreSQL / NoSQL)
  • Familiarity with cloud platforms (Azure preferred)
• Preferred Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
  • 3–6 years of experience in software engineering
  • Experience working on end-to-end application development in enterprise or product environments