Software Engineering - Ag & Trading

Job Purpose and Impact

Join our Software Engineering Team - AI Labs to help scale AI capabilities across Ag & Trading. In this role, you will design, develop, and maintain scalable software applications and AI-enabled solutions that drive business outcomes. You'll partner with cross-functional teams to deliver innovative products, enhance existing platforms, and build enterprise capabilities that enable the organization to leverage AI effectively and responsibly.

Key Accountabilities

• SOFTWARE DEVELOPMENT: Designs and develops high quality software solutions by writing clean, maintainable and efficient codes.
• 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.

Qualifications

• Minimum requirement of 4 years of relevant work experience with a Bachelor's degree.
• Experience building and scaling full-stack applications using the following languages/frameworks: React + TypeScript (front end), Python (FastAPI) or Java Spring Boot (back end), REST APIs and PostgreSQL
• Move AI coding agents (Claude Code, GitHub Copilot, Cursor).
• Experience with building applications that use large language models or other AI services
• Working with AI coding assistants or agentic development tools.
• Experience with cloud-native AI/ML or GenAI systems (Azure, AWS, or GCP).
• Generative AI / LLM development
• AI Agent and agentic workflow development
• RAG and prompt engineering
• Azure OpenAI / Azure AI Foundry / Microsoft Copilot
• API and enterprise system integration
• Strong foundation in relational databases, with hands‑on experience using PostgreSQL
• Experience with CI/CD pipelines and modern DevOps delivery practices
• Experience deploying and operating applications on cloud‑native platforms
• Proficiency with Git‑based version control and collaborative development workflows
• Understanding of modern application architectures, cloud‑native patterns, and security best practices.