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Be an Early Applicant
Reimagining what's possible for food and agriculture
The Role
Design, build, test, deploy, and support production-grade GenAI assistants, agents, and automation solutions. Develop Python microservices, LLM/RAG/agent workflows, retrieval/vector-search pipelines, APIs, and operational tooling. Ensure scalability, cost-efficiency, security, monitoring, and runbooks. Collaborate across teams and follow Responsible AI, governance, and Agile practices throughout the solution lifecycle.
Summary Generated by Built In
Job Purpose and Impact
Key Accountabilities
Qualifications
- Experienced professional individual contributor who works independently on end-to-end delivery of production-grade AI Assistants, GenAI applications, data platforms, and automation solutions. Solves difficult, multi-component technical problems with limited supervision and may provide peer review or technical coaching within the job area.
JOB SUMMARY
The Software Engineer will design, build, test, deploy, and support AI Assistants, AI Agents, and workflow automation solutions using ChatGPT-based copilots, Copilot Studio agents, Power Automate, and cloud-native services. Deliverables may span Python microservices, APIs and integration services, retrieval and vector-search pipelines, LLM/RAG/agent workflows, operational tooling, and user-facing experiences.
Working within the Food APAC Digital Technology and Data team, this role will translate product requirements into secure, scalable, observable, and cost-efficient services or agents. The engineer will contribute across the full solution lifecycle-from experimentation and prototyping through production deployment, monitoring, support, and continuous improvement.
- Experienced professional individual contributor who works independently on end-to-end delivery of production-grade AI Assistants, GenAI applications, data platforms, and automation solutions. Solves difficult, multi-component technical problems with limited supervision and may provide peer review or technical coaching within the job area.
Key Accountabilities
- Design, Development & Support
- Build reusable Agentic AI workflows and automate business processes.
- Develop scalable Python microservices for LLM, RAG, and AI agent solutions.
- Implement prompt engineering, vector search, retrieval pipelines, grounding, and caching.
- Optimize AI solution performance, scalability, and cost.
- Develop, test, debug, and maintain AI applications and services.
- Create and maintain technical documentation and deployment guides.
Operational Excellence- Develop runbooks, monitoring dashboards, alerts, and incident-response procedures.
- Troubleshoot and resolve production issues to ensure reliability and uptime.
Collaboration & Delivery- Partner with cross-functional teams to design and deliver business solutions.
- Work in Agile environments with end-to-end ownership of solution delivery.
- Ensure compliance with architecture, security, governance, privacy, and Responsible AI standards.
Technology Exposure- Experience with Python, APIs, cloud platforms, CI/CD, containerization, RAG, vector databases, and monitoring tools.
- Exposure to Salesforce, Service Cloud, CPQ, Salesloft, ChatGPT, Copilot Studio, Power Automate, or similar platforms is preferred.
Qualifications
- Minimum requirement of 3 years of experience building AI-based software solutions or data platforms.• Typically reflects 3 years or more of relevant experience, including 2+ 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 3 years building AI-based software solutions or data platforms
- 2+ years working with cloud-native AI/ML or GenAI systems on Azure, AWS, or GCP
- 2+ years of software development experience
- Proficient in Python
- Experience building and integrating APIs
- Experience with CI/CD practices and tooling
- Experience with containerization (e.g., Docker, containers)
- Experience implementing RAG, vector databases, and retrieval/vector-search pipelines
- Experience developing and deploying LLM/agent workflows and GenAI solutions
- Experience with monitoring, runbooks, alerts, and incident response
- Exposure to Salesforce, Service Cloud, CPQ, Salesloft, ChatGPT, Copilot Studio, or Power Automate
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.
Cargill Insights
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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
