AI Engineer Python

We are looking for a hands-on senior-level Software Engineer with deep Python expertise to build reliable internal platforms and developer-enablement capabilities. This is an engineering-first role: strong software design coding fluency and practical problem-solving are essential.

You will apply AI in pragmatic ways-such as designing document search and conversational experiences using Retrieval-Augmented Generation (RAG)-while maintaining a high bar for engineering quality security scalability and operational excellence.

What Youll Do

• Design build and maintain production-grade Python services libraries and developer tools.
• Apply modern Python practices including packaging type hints asynchronous programming and maintainable API design.
• Create shared libraries service templates and engineering standards that enable multiple internal teams to build consistently and efficiently.
• Build and evolve AI-enabled capabilities including RAG-based search and conversational solutions over internal documentation and knowledge sources.
• Define robust evaluation approaches for AI-assisted features balancing usefulness reliability security and cost.
• Develop and maintain CI/CD pipelines and cloud-native delivery practices using Docker Kubernetes and Terraform.
• Establish strong testing code quality documentation-as-code and secure software development practices.
• Improve application performance scalability and reliability through profiling benchmarking observability and architectural improvements.
• Implement monitoring alerting and operational standards for platform services.
• Conduct thorough code reviews mentor engineers and raise engineering standards across the team.
• Partner with engineering product and scientific stakeholders to translate complex needs into practical scalable technical solutions.

Qualifications :

Required Qualifications

• Significant hands-on experience as a Software Engineer with strong production-level proficiency in Python. Equivalent depth in Java may also be considered.
• Demonstrated ability to write clean maintainable and well-tested code and to solve complex engineering problems independently.
• Strong experience with modern Python practices: packaging dependency management typing async programming and service/API development.
• Experience designing and maintaining reusable libraries service templates or internal developer platforms used by multiple teams.
• Strong knowledge of software quality practices including automated testing code reviews CI/CD and release engineering.
• Practical experience with Docker Kubernetes and Infrastructure as Code ideally Terraform.
• Experience with observability monitoring alerting performance profiling and benchmarking.
• Solid understanding of secure coding practices vulnerability management and security considerations in software delivery.
• Applied understanding of Generative AI and LLM patterns particularly RAG. You should be able to explain and design an approach for document search or conversational interfaces over enterprise content.
• Strong written and spoken English with the ability to communicate effectively across technical and non-technical stakeholders.

Preferred Qualifications

• Experience building internal platforms developer tools or products adopted by several engineering teams.
• Experience in agriculture life sciences scientific computing or another regulated enterprise environment.
• Experience working in distributed international engineering organisations.
• Track record of technical leadership mentoring or leading cross-team engineering initiatives.
• Familiarity with AI/ML frameworks and tools used in software development environments.

What Success Looks Like

You are an engineer first: someone who can go deep in code make sound technical decisions and deliver durable software in production. You use AI thoughtfully and practically-not as a substitute for engineering fundamentals but as a capability embedded in reliable secure and scalable platforms.

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

Remote Work :

No

Employment Type :

Full-time