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# AI Engineer/Back-End Developer

- **Company:** Corteva
- **Location:** Des Moines, IA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, C++ (Programming Language), Linux, Python (Programming Language), Cloud Services, Scientific Computating, Software Engineering, Software Systems, Systems Integration, Digital Twin, Application Enhancement Tool, Large Language Models, Backend, Build Management, Information Technology, Terraform, Docker, Web Api
- **Published:** May 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a3f55179592ad70c

## About the Role

Do you have experience in Python?, Do you have a Bachelor's degree?, You're a pragmatic engineer who takes ownership end-to-end-from design and implementation through deployment, monitoring, and ongoing operations. You thrive in a collaborative environment, can work autonomously, and value sharing expertise and learning from others. You're comfortable bridging software engineering and computational science-optimizing algorithms, designing scalable APIs, and delivering reliable systems that enable stakeholders to iterate and innovate with confidence., * Bachelor's degree in computer science, software engineering, or a related field (or equivalent practical experience), with 10+ years of relevant experience

 * Strong Python skills
 * Strong communication skills - able to work effectively with both engineers and non-technical stakeholders
 * Experience working with Linux and Docker
 * Working knowledge of AWS (deploying and operating cloud services, storage, and compute)
 * Experience with large-scale batch computing
 * Experience with scientific libraries and numerically heavy code
 * At least some experience with compiled languages such as C++ or Rust
 * Experience writing and integrating web APIs

What Makes You Stand Out:

 * Experience with Terraform
 * Familiarity with LLM integration, RAG pipelines, or building AI-assisted tools
 * Background in scientific computing, genetics, agriculture or related domains

## Description

This role is central to our AI-enablement strategy: you'll help build and deploy platforms that let teams seamlessly integrate new algorithms, digital twins, and AI-powered tools into breeding pipelines and workflows-ensuring they are versioned, reproducible, monitored, and ready for real-world use.

 * Design and maintain back-end services and APIs that expose data and algorithms to internal users and downstream systems, with a focus on production readiness for deployment
 * Collaborate closely with scientists, data engineers, and other stakeholders to translate domain problems into robust software solutions-and carry them through deployment into breeding workflows
 * Build and optimize large-scale batch compute jobs for numerically intensive scientific workloads
 * Help advance engineering practices as the team scales its AI capabilities


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