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Comercio de granos y agroindustria (1346)Alimentos y bebidas: proceso y empaque (1222)Maquinaria, riego y equipo (1168)Insumos: semilla, nutrición y protección de cultivos (1158)Producción agrícola y hortofrutícola (142)Producción pecuaria, acuícola y sanidad animal (17)

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Syngenta

AI Engineer Python

Ubicación del puesto

Madrid, Spain · España

Publicada el hace 3 semanas

Investigación, desarrollo y mejoramiento genético

Descripción

La empresa publicó esta vacante en inglés

Company Description

Syngenta Crop Protection is a leader in agricultural innovation, bringing breakthrough technologies and solutions that enable farmers to grow productively and sustainably. We offer a leading portfolio of crop protection solutions for plant and soil health, as well as digital solutions that transform the decision-making capabilities of farmers. Our 17,900 employees serve to advance agriculture in more than 90 countries around the world. Syngenta Crop Protection is headquartered in Basel, Switzerland, and is part of the Syngenta Group.

Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet. Join us and help shape the future of agriculture.

Job Description

We are looking for an AI Engineer — Python to enhance the Python layer of our internal developer platform: templates, shared libraries, runtime standards and quality tooling. This is an opportunity to work at the intersection of advanced technology and agricultural R&D, partnering with engineers, product leaders and scientific stakeholders on capabilities with real-world impact. Help accelerate the digital capabilities that support more sustainable agriculture and scientific innovation.

What You'll Do

Lead and apply deep expertise in Modern Python: packaging, types and async to deliver durable, scalable outcomes.
Lead and apply deep expertise in Shared libraries and service templates to deliver durable, scalable outcomes.
Lead and apply deep expertise in AI-assisted engineering with rigorous evaluation to deliver durable, scalable outcomes.
Lead and apply deep expertise in CI/CD, Docker, Kubernetes and Terraform to deliver durable, scalable outcomes.
Lead and apply deep expertise in Test and quality engineering to deliver durable, scalable outcomes.
Lead and apply deep expertise in Documentation-as-code and agent-consumable interfaces to deliver durable, scalable outcomes.
Mentor junior engineers and conduct thorough code reviews to maintain high engineering standards across the platform.
Optimize performance and scalability of Python applications through profiling, benchmarking and architectural improvements.
Implement and enforce security best practices, including vulnerability assessments and secure coding standards.
Establish monitoring, observability and alerting standards to ensure platform reliability and performance visibility.
Evaluate and integrate emerging AI/ML tools and frameworks to enhance developer productivity and platform capabilities.
Collaborate across engineering, product and scientific teams to translate complex needs into practical solutions.
Set a high bar for quality, documentation and thoughtful use of AI-assisted engineering throughout the organization.

Qualifications

**What You Bring**

**Required Qualifications:**

Demonstrable experience in Modern Python: packaging, types and async
Demonstrable experience in Shared libraries and service templates
Demonstrable experience in AI-assisted engineering with rigorous evaluation
Demonstrable experience in CI/CD, Docker, Kubernetes and Terraform
Demonstrable experience in Test and quality engineering
Demonstrable experience in Documentation-as-code and agent-consumable interfaces
Demonstrable experience in Internal platform thinking
Strong communication skills and the ability to influence across technical and non-technical stakeholders
Fluent English, written and spoken
Proven experience with performance optimization, profiling and benchmarking of Python applications
Knowledge of security best practices, including vulnerability assessments and secure coding standards
Experience implementing and maintaining monitoring, observability and alerting solutions

**Preferred Qualifications:**

Experience in agriculture, life sciences, scientific computing or a regulated enterprise environment
Experience building platforms, products or services used by multiple internal teams
Experience working in distributed, international engineering organizations
Demonstrated experience mentoring junior engineers or leading technical initiatives
Familiarity with emerging AI/ML tools and frameworks in development environments

Additional Information

Why Syngenta?

• Meaningful impact: help build technology that supports scientific innovation and sustainable agriculture.

• Complex, modern challenges: work on high-scale platforms and systems with room for technical judgement.

• Collaborative environment: partner with global engineering, R&D and product communities.

• Growth: broaden your influence through challenging work, visible outcomes and a global network

Vacantes del campo

AI Engineer Python

Descripción

Company Description

Job Description

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AI Engineer Python

Descripción

Company Description

Job Description

Qualifications

Additional Information