AI Engineer/Back-End Developer

Corteva AgriscienceFranklin, TN

About The Position

At Corteva Agriscience, you will help us grow what’s next. No matter your role, you will be part of a team that is building the future of agriculture – leading breakthroughs in the innovation and application of science and technology that will better the lives of people all over the world and fuel the progress of humankind. We're looking for an AI Engineer / Back-End Developer to join our Scientific Computing team within the Breeding Technologies group. You'll work at the intersection of data engineering, computer science, and seed product development—building and deploying the services, workflows, and tooling that help decision-makers move fast and make well-informed decisions. 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.

Requirements

  • 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

Nice To Haves

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

Responsibilities

  • 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

Benefits

  • Numerous development opportunities offered to build your skills
  • Be part of a company with a higher purpose and contribute to making the world a better place
  • Health benefits for you and your family on your first day of employment
  • Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays
  • Excellent parental leave which includes a minimum of 16 weeks for mother and father
  • Future planning with our competitive retirement savings plan and tuition reimbursement program
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