At a Glance
- Tasks: Design and build innovative Python services for AI capabilities in agriculture.
- Company: Join a forward-thinking company focused on sustainable agricultural innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and career development.
- Why this job: Make a real impact by shaping scalable systems that drive agricultural advancements.
- Qualifications: Strong Python skills and experience with modern software practices required.
The predicted salary is between 63000 - 77000 £ per year.
In this senior, hands-on role you will design, build and maintain production-grade Python services and internal developer platforms to enable multiple teams. You’ll advance AI-enabled capabilities, including RAG-based search and conversational features over internal knowledge sources, while upholding security, reliability and scalable engineering practices. You will collaborate with product, engineering and science stakeholders to translate complex needs into practical solutions and mentor others. This position offers impact by shaping scalable, observable systems that support sustainable agricultural innovation.
Responsibilities
- Design, build and maintain production-grade Python services, libraries and developer tools
- Apply modern Python practices (packaging, typing, async, API design)
- Create shared libraries and templates to standardize internal development
- Develop AI-enabled capabilities including RAG-based search and conversational interfaces
- Define evaluation approaches balancing usefulness, reliability, security and cost
- Develop and maintain CI/CD pipelines and cloud-native delivery using Docker, Kubernetes and Terraform
- Enforce testing, documentation-as-code, and secure software practices
- Improve performance, scalability and observability of platforms
- Implement monitoring, alerting and operational standards for services
- Conduct code reviews, mentor engineers and raise engineering standards
- Partner with engineering, product and scientific stakeholders to translate needs into scalable solutions
Key requirements
- Significant hands-on experience as a Software Engineer with strong Python production-level proficiency
- Equivalent depth in Java may be considered
- Proven ability to write clean, maintainable, well-tested code and solve complex problems independently
- Strong experience with modern Python practices (packaging, dependencies, typing, async, API development)
- Experience designing reusable libraries or internal platforms used by multiple teams
- Knowledge of software quality practices (automated testing, CI/CD, release engineering)
- Experience with Docker, Kubernetes and Infrastructure as Code (Terraform)
- Experience with observability, monitoring, performance profiling and benchmarking
- Solid secure coding practices and vulnerability management awareness
- Applied understanding of Generative AI and LLM patterns, esp. RAG, with ability to design document search or conversational interfaces
- Strong written and spoken English for cross-functional communication
- Collaboration across technical and non-technical stakeholders
- Mentoring and leadership of cross-team initiatives
- Problem-solving with practical, production-focused mindset
- Python
- Java (equivalent depth)
- Docker
AI Engineer Python employer: Syngenta Group
At Syngenta, we pride ourselves on being an exceptional employer, fostering a collaborative and inclusive work culture that prioritises professional development and work-life balance. Located in Huddersfield, our team is dedicated to making a meaningful impact in sustainable agriculture, offering extensive benefits including a generous pension scheme, private medical insurance, and up to 31.5 days of annual leave. Join us in our mission to revolutionise plant protection while enjoying a supportive environment that values diversity and empowers employees to grow.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer Python
✨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 Group 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 Group.
✨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 Group.
✨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 Group 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
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 Group.
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 Group 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 Group
✨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 Group 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.
