AI Engineer Python

Syngenta Group; Madrid; On-site; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Meaningful impact

High-scale platforms

Collaborative environment

Growth opportunities

Job summary

Syngenta Crop Protection is seeking an AI Engineer — Python to enhance the Python layer of our internal developer platform, shaping the tooling and templates used across global teams. You will partner with engineers, product leaders and scientific stakeholders to accelerate digital capabilities that support sustainable agriculture.

Join a cross-functional, high-performing team responsible for performance, security and observability while mentoring peers and delivering durable platform solutions

Qualifications

• Demonstrable experience in Modern Python: packaging, types and async.
• Proven experience with shared libraries and service templates.
• Proven expertise in AI-assisted engineering with rigorous evaluation.
• Hands-on in CI/CD, Docker, Kubernetes and Terraform.
• Experience in test and quality engineering and secure coding practices.
• Documentation-as-code and agent-consumable interfaces experience.
• Strong system thinking for internal platform development.
• Excellent communication across technical and non-technical stakeholders.
• Fluent English, written and spoken, with mentoring ability.

Responsibilities

• Lead and apply deep expertise in Modern Python to deliver durable, scalable outcomes.
• Guide shared libraries and service templates to empower internal platforms.
• Advance AI-assisted engineering with rigorous evaluation and impact.
• Drive CI/CD, Docker, Kubernetes and Terraform to ensure reliability.
• Elevate testing, security, performance profiling and benchmarking.
• Champion documentation-as-code and clear interfaces for teams.
• Mentor junior engineers and perform thorough code reviews.
• Collaborate with product and science teams to translate needs into solutions.
• Set high quality standards and foster thoughtful use of AI tooling.

Skills

Modern Python

Shared libraries

AI-assisted engineering

CI/CD

Docker

Kubernetes

Terraform

Test & quality eng

Documentation-as-code

Internal platform thinking

Mentoring engineers

Performance profiling

Security best practices

Observability & monitoring

Effective communication

English fluency

Job 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