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- Tasks: Build innovative AI solutions using Python and collaborate with clients to meet their needs.
- Company: Dynamic AI consultancy in Greater London focused on cutting-edge technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a team pushing the boundaries of AI and make a real impact in the tech world.
- Qualifications: Strong Python skills, experience with data, and knowledge of microservices required.
- Other info: Exciting environment with potential for career advancement in AI technology.
The predicted salary is between 48000 - 72000 £ per year.
A scale-up AI consultancy in Greater London is seeking a Python Software Developer to build AI solutions, specifically LLM/GenAI products. You will work alongside AI Engineers and liaise with clients to understand their needs.
- Strong Python skills
- Experience with data
- Background in microservices
While knowledge of LLMs/GenAI is beneficial, deep expertise is not required. Join us in pushing the boundaries of AI technology.
Senior AI Engineer: Python & GenAI Solutions employer: Saragossa
Contact Detail:
Saragossa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer: Python & GenAI Solutions
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those working with Python and GenAI. Attend meetups or webinars to connect with potential colleagues and clients – you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially any related to AI or microservices. This will give you an edge and demonstrate your hands-on experience when chatting with potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on common AI and Python interview questions, and be ready to discuss how you've tackled challenges in past projects. Practising with a friend can help you feel more confident and articulate.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you. Plus, applying directly shows your enthusiasm and commitment to joining our team in pushing the boundaries of AI technology.
We think you need these skills to ace Senior AI Engineer: Python & GenAI Solutions
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your strong Python skills in your application. We want to see how you've used Python in past projects, especially if it relates to AI solutions or microservices.
Tailor Your Experience: When you’re writing your application, tailor it to the job description. Mention any relevant experience with data and how you've worked on AI projects, even if they’re not specifically LLM/GenAI.
Be Client-Focused: Since you'll be liaising with clients, it’s a good idea to mention any experience you have in understanding client needs. Show us how you’ve successfully communicated and delivered solutions in the past.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Saragossa
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your previous projects and how you've used Python to solve problems, especially in AI contexts. Practising coding challenges can also help you demonstrate your proficiency.
✨Familiarise Yourself with GenAI Concepts
While deep expertise in LLMs/GenAI isn't required, having a solid understanding of the basics will set you apart. Read up on recent advancements in generative AI and be prepared to discuss how these technologies can be applied in real-world scenarios.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to tackle hypothetical scenarios or case studies. Think about how you would approach building an AI solution for a client. This is your chance to showcase your analytical thinking and creativity in problem-solving.
✨Engage with the Interviewers
Don’t just wait for questions; engage with your interviewers. Ask them about their current projects and challenges they face. This shows your interest in the role and helps you understand how you can contribute to their team effectively.
