Cargill Jobs

Software Engineer

Cargill

Software Engineer

Posted 6 Hours Ago

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Bengaluru, Bengaluru Urban, Karnataka, IND

In-Office

Mid level

Food • Greentech • Logistics • Sharing Economy • Transportation • Agriculture • Industrial

Reimagining what's possible for food and agriculture

The Role

Designs, builds, deploys, and supports AI assistants, agents, and automation solutions. Responsibilities include developing agentic workflows, Python microservices, LLM/RAG retrieval pipelines, prompt-engineering patterns, testing, debugging, performance tuning, security patching, observability, documentation, on-call operations, and incident reviews. The role partners with product, cloud, security, and AI teams to deliver secure, scalable digital solutions and mentors engineers across the product lifecycle.

Summary Generated by Built In

Job Purpose and Impact
The Software Engineering Professional will lead the design, build, and ongoing support of AI Assistants, AI Agents, and automation solutions-leveraging ChatGPT‑based copilots, Copilot-Studio-Onboarding--Building,-Testing,-and-Deploying-AI-Agents-for-Maximum-Value-at-Cargill agents, and Power Automate workflows-while adhering to AI CoE platform standards and guardrails. Deliverables typically span API and integration services, retrieval and vector-search pipelines, LLMOps/AgentOps operational tooling, and intuitive front-end experiences for both office users and plant operators.This role will work primarily within our Food EMEA Digital Technology and Data team and assist with solutions for our technology stack servicing our Food EMEA team and Customers. In this role, you'll have a strong partnership with the business Product Owner with an emphasis on translating product requirements into secure, efficient, and observable services or agents, manage the lifecycle from experiment to production; and continually improve reliability, latency, and cost. You will work as part of a product team to ensure the digital products outputs of the team maximize value and drive efficiency, consistency, and digitally connected experiences for commercial teams and customers. Expect to collaborate outside of the product team with other product managers, AI Center of excellence, cloud engineers, and security teams across the digital and technology and data ecosystem.
Key Accountabilities

Develop multi-agent workflow automation patterns using Agentic AI
Process redesign and mapping to agentic workflow patterns
Architect scalable micro-services that wrap LLM/RAG/Agent workflows (Python).
Implement robust prompt-engineering patterns, retrieval pipelines, and caching for AI Assistants and AI Agents
Profile inference latency, GPU/CPU utilization, and memory
Writes and maintains highly complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software/AI solutions
Lead bug-fix, security-patch, and performance-tuning sprints for live AI Assistants and AI Agents
Leads the establishment and maintenance of comprehensive documentation for agents, applications, deployment processes and system configurations.
Own on-call runbooks, SLOs, and incident reviews; embed observability
Leads and mentors technical support and troubleshooting for highly complex issues with deployed applications to ensure minimal downtime and fast resolution.
Leads cross functional team of engineers to gather requirements and deliver solutions that meet business needs.
Experience working within product and agile delivery frameworks including backlog management and cross-functionality delivery and full E2E engineering.
Experience with enterprise architecture, data governance, or security standards in the context of digital solution delivery as part of E2E engineering and solution architecture.
Experience with digital technologies in the commercial & sales management capability (e.g. Salesforce, Service Cloud, CPQ, Salesloft, ChatGPT or similar platforms)

Qualifications

Minimum requirement of 2 years of building production software or data platforms.
Typically reflects 3 years or more with 2+ years of cloud-native AI/ML or GenAI systems (Azure, AWS, or GCP) or 2+ years of software development.

Skills Required

At least 2 years of experience building production software or data platforms
At least 2 years of experience with cloud-native AI, machine learning, or generative AI systems on Azure, AWS, or GCP
At least 2 years of software development experience
Experience with product and agile delivery frameworks, backlog management, cross-functional delivery, and end-to-end engineering
Experience with enterprise architecture, data governance, or security standards in digital solution delivery
Experience with commercial and sales management technologies such as Salesforce, Service Cloud, CPQ, Salesloft, or ChatGPT

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The Company

HQ: Wayzata, MN

155,000 Employees

Year Founded: 1865

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.