Software Engineer - 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, 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.
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