AI Engineer Python
Syngenta Group2 months ago
Bracknell, United KingdomSenior
Responsibilities
- Design, build, and maintain production-grade Python services, libraries, developer tools, and internal platforms.
- Create shared libraries, service templates, and engineering standards that enable multiple internal teams to build consistently.
- Build RAG-based document search and conversational solutions over internal documentation and knowledge sources.
- Define evaluation approaches for AI-assisted features that balance usefulness, reliability, security, and cost.
- Develop and maintain Docker-, Kubernetes-, and Terraform-based cloud-native delivery practices.
- Establish testing, code quality, documentation, secure software development, monitoring, alerting, and operational standards.
- Improve application performance, scalability, and reliability through profiling, benchmarking, observability, and architectural improvements.
- Conduct code reviews, mentor engineers, and raise engineering standards across the team.
- Partner with engineering, product, and scientific stakeholders to deliver scalable technical solutions.
Requirements
- Significant hands-on Software Engineering experience with strong production-level Python proficiency; equivalent depth in Java may also be considered.
- Demonstrated ability to write clean, maintainable, well-tested code and solve complex engineering problems independently.
- Strong experience with Python packaging, dependency management, typing, asynchronous programming, and service/API development.
- Experience designing and maintaining reusable libraries, service templates, or internal developer platforms used by multiple teams.
- Strong knowledge of 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.
- Understanding of secure coding, vulnerability management, and security considerations in software delivery.
- Applied understanding of Generative AI and LLM patterns, particularly RAG, including document search or conversational interfaces over enterprise content.
- Strong written and spoken English and effective communication with technical and non-technical stakeholders.
- Preferred experience includes internal platforms or developer tools adopted by several engineering teams, regulated enterprise environments, distributed international organizations, technical leadership, mentoring, cross-team initiatives, and AI/ML frameworks or tools.
Benefits
- Meaningful work supporting scientific innovation and sustainable agriculture.
- Opportunities to work on complex, high-scale platforms with significant technical judgment.
- Collaborative work with global engineering, R&D, and product communities.
- Growth through challenging projects, visible outcomes, and a global professional network.
Tech Stack
Categories
About Syngenta Group
Syngenta Group builds and sells seeds, crop‑protection products (herbicides, fungicides, insecticides), and digital agronomy tools that help farmers increase yields and manage risk. Its business spans R&D, manufacturing, and global distribution to growers and agricultural retailers, complemented by advisory and data services. Headquartered in Basel, Switzerland, the company was formed in 2020 and is privately owned by China’s Sinochem Holdings, operating across more than 90 countries.