At a Glance
- Tasks: Design and build AI-driven Python services for sustainable agriculture solutions.
- Company: Join Syngenta, a leader in agricultural innovation with a global impact.
- Benefits: Competitive salary, collaborative culture, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to mentor and lead in a diverse team.
- Why this job: Make a meaningful impact on global agriculture while working with cutting-edge technology.
- Qualifications: Strong Python skills and experience in software engineering required.
The predicted salary is between 59400 - 72600 £ per year.
Company 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.
Company 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 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.
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
AI Engineer Python in Bracknell employer: Syngenta AG
Syngenta Group is an exceptional employer, offering a dynamic work environment at Jealott's Hill International Research Centre, where innovation meets agriculture. With a strong commitment to employee growth through extensive training options and a collaborative culture, we empower our team to tackle meaningful challenges in agricultural technology. Our comprehensive benefits package, including generous holiday allowances and flexible working arrangements, ensures that our employees thrive both personally and professionally while contributing to sustainable solutions for global food security.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer Python in Bracknell
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Syngenta AG or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Syngenta AG.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Syngenta AG.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Syngenta AG that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Engineer Python in Bracknell
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Syngenta AG.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Syngenta AG and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Syngenta AG
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Syngenta AG uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
