18 ago
|
Syngenta
|
Madrid
Experteer Overview
Todos los candidatos deben asegurarse de leer atentamente la siguiente descripción del puesto y la información antes de enviar su solicitud.
In this AI Engineer role, you will strengthen the Python layer of our internal developer platform, shaping templates, shared libraries, and quality tooling. You’ll work with engineers, product leaders, and scientists to enable capabilities with real-world impact in sustainable agriculture. You will drive scalable Python solutions, AI-assisted engineering, and robust platform reliability. This position offers the opportunity to influence core tooling and standards across the organization.
Compensaciones / Incentivos
- Advance modern Python practices across packaging, types, and async workflows
- Develop and maintain shared libraries and service templates for scalability
- Lead AI-assisted engineering with rigorous evaluation
- Oversee CI/CD, Docker, Kubernetes, and Terraform implementations
- Strengthen test and quality engineering to ensure reliability
- Champion documentation-as-code and user-friendly interfaces
- Mentor junior engineers and perform code reviews to uphold standards
- Optimize performance and scalability of Python apps via profiling and architectural improvements
- Enforce security best practices including vulnerability assessments
- Establish monitoring, observability, and alerting for platform reliability
- Evaluate and integrate emerging AI/ML tools to boost productivity
- Collaborate with cross-functional teams to translate complex needs into practical solutions
- Set high quality bar for AI-assisted engineering and documentation throughout the org
Responsabilidades
- expertise in Modern Python (packaging, typing, async)
- experience with shared libraries and service templates xugodme
- proficient in AI-assisted engineering concepts and evaluation
- strong background in CI/CD, Docker, Kubernetes, Terraform
- hands-on testing and quality engineering know-how
- documentation-as-code and developer-facing interfaces
- mentoring and code-review capabilities
- performance profiling and architectural optimization
- security best practices and secure coding standards
- observability, monitoring, and alerting practices
- ability to collaborate with engineering, product, and scientific teams
Requisitos principales
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📌 AI Engineer Python (Madrid)
🏢 Syngenta
📍 Madrid