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 **Lang Chain (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