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- Tasks: Develop cutting-edge AI solutions and collaborate with clients across diverse industries.
- Company: Forward-thinking AI consultancy based in the UK.
- Benefits: Competitive salary up to £130,000, hybrid work flexibility, and skill enhancement opportunities.
- Why this job: Join a dynamic team and make an impact in the rapidly evolving AI field.
- Qualifications: Strong Python development skills and experience in AI solutions.
- Other info: Mid-Senior level role with excellent career growth potential.
The predicted salary is between 78000 - 130000 £ per year.
A forward-thinking AI consultancy in the UK seeks a Senior AI Engineer to develop AI solutions, particularly LLM/GenAI products. You will leverage your Python development skills while collaborating closely with clients across various industries.
This Mid-Senior level role offers a competitive salary of up to £130,000 with hybrid work flexibility. Join a dynamic team of AI Engineers and enhance your skills in a rapidly evolving field.
Senior AI Engineer - Python Pro for GenAI Solutions employer: Saragossa
Contact Detail:
Saragossa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer - Python Pro for GenAI Solutions
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a role that fits your skills.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to LLM/GenAI solutions. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and scenarios. Practice explaining your thought process and how you've tackled challenges in previous roles—this will help you stand out!
✨Tip Number 4
Don't forget to apply through our website! We’ve got some fantastic opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior AI Engineer - Python Pro for GenAI Solutions
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python development experience in your application. We want to see how you've used Python to create innovative AI solutions, especially in the realm of LLM/GenAI products.
Tailor Your Application: Don’t just send a generic CV and cover letter. We love it when applicants tailor their applications to our specific role. Mention how your experience aligns with the job description and what you can bring to our team.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with our dynamic team.
How to prepare for a job interview at Saragossa
✨Know Your Python Inside Out
As a Senior AI Engineer, your Python skills are crucial. Brush up on advanced Python concepts and libraries relevant to AI, like TensorFlow or PyTorch. Be ready to discuss your past projects and how you’ve used Python to solve complex problems.
✨Understand GenAI Solutions
Familiarise yourself with Generative AI products and their applications. Research the latest trends and breakthroughs in the field. This will not only show your passion but also help you engage in meaningful discussions during the interview.
✨Prepare for Technical Challenges
Expect technical questions or coding challenges during the interview. Practice common algorithms and data structures, and be prepared to demonstrate your problem-solving skills. Use platforms like LeetCode or HackerRank to sharpen your abilities.
✨Showcase Your Collaboration Skills
Since this role involves working closely with clients, be ready to share examples of how you've successfully collaborated in the past. Highlight your communication skills and ability to translate complex technical concepts into layman's terms.
