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Be an Early Applicant
Reimagining what's possible for food and agriculture
The Role
Design, build, deploy, and support AI-powered applications and intelligent automation across APAC. Develop LLM/GenAI solutions, RAG and agent workflows, integrate AI with enterprise systems (SAP/ERP/CRM), implement APIs/microservices, and apply MLOps/LLMOps for production monitoring, model versioning, and optimization.
Summary Generated by Built In
Job Purpose and Impact
The Food APAC DT&D AI Application developer role is responsible for designing, developing, deploying, and supporting AI-powered applications and intelligent automation solutions that enable business value across the region. This role combines software engineering, artificial intelligence, machine learning, generative AI (GenAI) and system integration capabilities to deliver scalable and secure solutions aligned with business priorities.
The role partners closely with business, product, and data teams to convert use cases into technical solutions, drive innovation through the adoption of AI technologies including LLMs, AI agents, machine learning, and enterprise AI platforms.
Key Accountabilities
AI Solution Design & Development
System Integration
AI Operations & Monitoring
Qualifications
Preferred Skills
The Food APAC DT&D AI Application developer role is responsible for designing, developing, deploying, and supporting AI-powered applications and intelligent automation solutions that enable business value across the region. This role combines software engineering, artificial intelligence, machine learning, generative AI (GenAI) and system integration capabilities to deliver scalable and secure solutions aligned with business priorities.
The role partners closely with business, product, and data teams to convert use cases into technical solutions, drive innovation through the adoption of AI technologies including LLMs, AI agents, machine learning, and enterprise AI platforms.
Key Accountabilities
AI Solution Design & Development
- Design, develop, test, and deploy AI-powered applications, machine learning models, GenAI solutions, and AI agents.
- Build scalable and reusable AI solution architectures that meet enterprise standards for security, performance, and maintainability.
- Develop prompt engineering frameworks, Retrieval Augmented Generation (RAG) solutions, agent orchestration workflows, and LLM-based applications.
- Apply software engineering best practices to AI-enabled application development.
System Integration
- Integrate AI capabilities with enterprise applications including SAP, ERP, CRM, data platforms, collaboration platforms, and custom applications.
- Design and implement APIs, microservices, and event-driven architectures to support AI use cases.
- Collaborate with integration teams to ensure seamless data and process flow across platforms.
AI Operations & Monitoring
- Monitor model performance, accuracy, reliability and business outcomes in production environments.
- Support MLOps and LLMOps practices including deployment automation, model versioning, and monitoring.
- Optimize model performance, infrastructure utilization, and operational costs.
Qualifications
- Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience.
- Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field.
- 3-8+ years of software development or AI/ML experience.
- Strong programming skills (Python preferred).
- Experience with machine learning, deep learning, or GenAI (LLMs).
- Experience with APIs, microservices, and cloud platforms.
- Understanding of data engineering and pipelines.
Preferred Skills
- Experience with Azure / AWS AI services or enterprise AI platforms.
- Knowledge of MLOps / LLMOps (deployment, monitoring, pipelines)
- Experience with enterprise integration (SAP, ERP, CRM systems)
- Proficient in English with strong written and verbal communication skills
- A background in SAP systems and projects will be considered a strong plus for this role, as many key initiatives involve ERP and SAP-related deployments and integrations
Skills Required
- Minimum 2 years relevant work experience (typically 3+ years)
- Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field
- 3-8+ years software development or AI/ML experience
- Strong programming skills
- Experience with machine learning, deep learning, or GenAI (LLMs)
- Experience with APIs, microservices, and cloud platforms
- Understanding of data engineering and data pipelines
- Python (preferred)
- Experience with Azure or AWS AI services or enterprise AI platforms
- Knowledge of MLOps / LLMOps (deployment, monitoring, pipelines)
- Experience with enterprise integration (SAP, ERP, CRM systems)
- Proficient English written and verbal communication
- Background in SAP systems and projects
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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Healthcare Strength — Health coverage is described as robust, with multiple medical plan options (including HSA/HRA pathways) plus dental, vision, and mental‑health supports such as a 24/7 EAP and Lyra. Wellness incentives, health advocacy, and group‑rate voluntary protections further round out the offering.
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Retirement Support — Retirement programs combine a 401(k) with company contributions and an Employee Stock Ownership Plan, with some materials also noting an employer‑funded retirement account based on age and service. This multi‑layered design emphasizes long‑term savings and ownership participation.
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Parental & Family Support — Paid family leave for the delivering parent is outlined at up to 12 weeks fully paid when combining salary continuation and leave programs, alongside bonding and caregiver leave structures. Family resources such as adoption/surrogacy reimbursement, Bright Horizons childcare support, and Milk Stork are also available.
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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
