About this role
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.