Syngenta Group

AI Engineer Python

Bracknell, England, United Kingdom · Hybrid · Full-time

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerSyngenta Group
LocationBracknell, England, United Kingdom
Work styleHybrid
Employment typeFull-time
Employer posted19 days ago

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 You’ll 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.

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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.

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

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