**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 creative 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, Java (Spring Boot) and/or Python + Experience building AI solutions, working with AI tools like Claude Code, GitHub Copilot, etc. + 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.