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Reimagining what's possible for food and agriculture
The Role
Lead design, build, deployment and support of AI assistants, agentic workflows, and automation. Architect Python microservices, LLM/RAG and vector-search solutions, ensure security, observability, and production reliability, and collaborate across product and engineering teams to operationalize GenAI solutions.
Summary Generated by Built In
Job Purpose and Impact
Key Accountabilities
Qualifications
- 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 CoE platform standards and guardrails. Deliverables typically span APIs and integration services, retrieval and vector-search pipelines, enterprise-scale LLMOps/AgentOps operational 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.
- 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 CoE platform standards and guardrails. Deliverables typically span APIs and integration services, retrieval and vector-search pipelines, enterprise-scale LLMOps/AgentOps operational tooling, and intuitive front-end experiences for office users and plant operators.
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 requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.• Typically reflects 4 years or more of relevant 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.
Skills Required
- Minimum 4 years of relevant work experience
- 3+ years working with cloud-native AI/ML or GenAI systems on Azure, AWS, or GCP OR 2+ years software development experience
- Strong expertise in Python
- Experience designing scalable microservices, APIs, LLM, RAG, and vector search architectures
- Experience with LLM/RAG frameworks and vector databases
- Experience with CI/CD and containerization
- Experience with prompt engineering, response grounding, caching, and performance optimization
- Experience owning monitoring, observability, incident management, and production support
- Familiarity with Copilot Studio, ChatGPT, Power Automate, Salesforce, and Service Cloud
- Adherence to enterprise architecture, governance, cybersecurity, and Responsible AI standards
What the Team is Saying
Gaby
Data Engineering Lead
Landon
North America Service Assurance Manager
Navita
Software Engineering Senior Supervisor
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William Orgertrice
Data Engineer
Kayode D.
Principal Data Engineer
Patricia
Supply Chain Learning & Development and Digital Support Lead
Heather W.
Software Engineer
Kristen K.
Factory of the Future Digital Product Manager
Shrey B.
Senior Software Engineer
Madhuri P.
Senior Data Scientist
William Orgertrice
Data Engineer — Data Function, Platforms and Product Engineering
Navita S.
Software Engineering Senior Supervisor
Heather W.
Software Engineer
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Cargill Compensation & Benefits Highlights
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Retirement Support — Two-layer retirement program combines a 401(k) match (100% on the first 3%, 50% on the next 2%) with an employer-funded Employee Retirement Account of roughly 2.5–7% based on age and service. Match is delivered quarterly in company stock and the ERA adds long-term value through additional employer contributions.
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Leave & Time Off Breadth — PTO starts at 15 days and scales to 30 days with tenure, governed by a clear June 1–May 31 cycle. This structured ladder provides predictable time away as service grows.
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Parental & Family Support — Paid family leave offers up to 6 weeks to bond with a new child and 4 weeks to care for a family member or qualifying military needs. Additional supports such as Bright Horizons childcare solutions and Milk Stork reinforce family care.
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The Company
What We Do
We are a family company providing food, ingredients, agricultural solutions and industrial products to nourish the world in a safe, responsible and sustainable way. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials— from eggs to edible oils, salt to skincare, feed to flooring. By providing customers with products that are vital for living, we help businesses grow, communities prosper and consumers live well in their daily lives.
Why Work With Us
The decision to join Cargill can open the door to a world of possibility. As part of our Digital, Technology & Data team, you’ll get to be part of a large and diverse group full of unique perspectives united by a common, higher purpose while building a rewarding career full of opportunity, growth and the satisfaction of knowing your work matters.
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Cargill Teams
Cargill Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
Not Specified
