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- Tasks: Develop innovative AI solutions and integrate cutting-edge models into applications.
- Company: Leading Agriculture Company embracing AI and innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Join a forward-thinking team and make a real impact in agriculture with AI.
- Qualifications: 6+ years in AI/ML, advanced Python skills, and expertise in LLMs.
- Other info: Collaborative environment with a focus on modernising processes and driving AI adoption.
The predicted salary is between 36000 - 60000 £ per year.
Our client, one of the leading Agriculture Companies, is modernising their landscape and adopting AI and innovations in their process. We are seeking a highly skilled and innovative Python/AI Engineer to join our team. The ideal candidate will be responsible for developing cutting-edge AI solutions, creating Proof of Concepts (PoCs), and integrating Large Language Models (LLMs) into our application landscape. This role involves close collaboration with business stakeholders and R&D teams to drive AI adoption and deliver impactful results.
Responsibilities
- Design and develop PoCs and present them to business stakeholders.
- Build and deploy innovative AI solutions using state-of-the-art models.
- Integrate LLMs into existing and new applications.
- Develop new functionalities within R&D applications.
- Promote and implement best process practices across AI development workflows.
Skills
Must have
- 6+ years of experience in AI/ML development.
- Advanced proficiency in Python.
- Strong understanding of AI frameworks (e.g., TensorFlow, PyTorch).
- Expertise in at least one LLM (e.g., GPT, Claude, LLaMA).
- Solid foundation in Data Science and statistical modeling.
- Experience with Agentic Workflows using LangChain-based agents.
- Hands-on experience with LangGraph (e.g., hackathons or MCPs).
- Deep understanding of fine-tuning techniques for LLMs.
- Hands-on experience on Transformer architecture and its evolution from earlier models.
Nice to have
- Knowledge of Multiple LLMs and their adoption in commercial projects.
Senior Python/AI Engineer employer: Luxoft
Contact Detail:
Luxoft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python/AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the agriculture and AI sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there. You never know who might have a lead on that perfect Senior Python/AI Engineer role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Python and LLMs. This will not only impress potential employers but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your AI frameworks and Python skills. Practice coding challenges and be ready to explain your thought process. We all know that being able to articulate your approach is just as important as getting the right answer!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Python/AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience in AI/ML development and Python. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in frameworks like TensorFlow or PyTorch!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you the perfect fit for our team. We love seeing candidates who can connect their experiences to our mission.
Showcase Your Projects: If you've worked on any innovative AI solutions or PoCs, make sure to mention them! We’re keen to see examples of your work, especially if they involve LLMs or Agentic Workflows. This is your opportunity to impress us with your hands-on experience.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Luxoft
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI frameworks like TensorFlow and PyTorch. Be ready to discuss your experience with LLMs, especially the ones mentioned in the job description. Prepare examples of how you've used these technologies in past projects.
✨Showcase Your Python Skills
Since advanced proficiency in Python is a must-have, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common algorithms and data structures. Having a few code snippets ready to share can also help illustrate your expertise.
✨Prepare Your PoC Presentation
As part of the role involves designing and presenting Proof of Concepts, think about a project where you developed a PoC. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will show your ability to communicate complex ideas effectively.
✨Collaborate Like a Pro
This position requires close collaboration with business stakeholders and R&D teams. Think of examples from your past where you worked in a team setting, especially in cross-functional roles. Highlight your communication skills and how you’ve driven AI adoption in previous projects.
