Senior Software Engineer - Food
Confirmed on the employer's own hiring board on Nov 8, 2026. First seen by Alion on Oct 8, 2026. Cargill scores A on the Alion truth index.
Job Purpose and Impact
The Senior Software Engineer will lead the design, architecture, build, deployment, and ongoing support of complex AI Assistants, AI Agents, and automation solutions-leveraging ChatGPT-based copilots, Copilot Studio agents, and Power Automate workflows-while adhering to Food APAC AI CoEplatform standards and guardrails. Deliverables typically span APIs and integration services, retrievaland vector-search pipelines, enterprise-scale LLMOps/AgentOpsoperational tooling, and intuitive front-end experiences for office users and plant operators.
This role will work primarily within the Food APAC Digital Technology and Data team, owning and shaping solutions across the Food APAC technology stack that serve internal teams and customers. The Senior Software Engineer will act as a technical leader and trusted partner to the business Product Owner, translating complex product requirements into secure, scalable, observable, and cost-efficient services or agents; managing the lifecycle from experiment to production; and proactively improving reliability, latency, performance, and cost.
Key Accountabilities
Lead development of Agentic AI workflows, AI assistants, and multi-agent automation solutions.
Design scalable Python microservices, APIs, LLM, RAG, and vector search architectures.
Implement prompt engineering, response grounding, caching, and performance optimization strategies.
Drive testing, debugging, security, reliability, and production support for AI applications.
Own monitoring, observability, incident management, and operational excellence practices.
Collaborate with cross-functional teams to deliver business-focused AI solutions.
Ensure adherence to enterprise architecture, governance, cybersecurity, and Responsible AI standards.
Strong expertise in Python, cloud-native technologies, APIs, CI/CD, containerization, LLM/RAG frameworks, vector databases, and AI platforms such as Copilot Studio, ChatGPT, Power Automate, Salesforce, and Service Cloud.
Qualifications
Minimum requirementof4 years of relevant work experience. Typically reflects 5 years or more ofrelevant experience.
- Typically reflects 4 years or more ofrelevant experience, including 3+ years working with cloud-native AI/ML or GenAI systems on Azure, AWS, or GCP, or 2+ years of software development experience.