At a Glance
- Tasks: Develop and deploy AI-powered applications in a collaborative environment.
- Company: Join Envision Pharma Group, a leader in innovative AI solutions.
- Benefits: Enjoy a hybrid work model with competitive salary and growth opportunities.
- Other info: Be part of a dynamic team focused on ethical AI development.
- Why this job: Make a real impact in the life sciences industry with cutting-edge AI technology.
- Qualifications: 3+ years of experience in Python and knowledge of LLM frameworks.
The predicted salary is between 50000 - 70000 £ per year.
Envision Pharma Group is seeking a pragmatic AI Engineer in Cambridge, UK. You will be responsible for developing and deploying AI-powered applications, working closely with multi-disciplinary teams to ensure scalable solutions.
Ideal candidates should possess over 3 years of experience, a strong background in Python, and familiarity with modern LLM frameworks and AI ethics.
This hybrid opportunity allows you to be part of an innovative team dedicated to creating impactful AI solutions in the life sciences industry.
Hybrid AI Engineer — Real-World GenAI & RAG in Cambridge employer: Envision Pharma Group
Envision Pharma Group is an exceptional employer located in the vibrant city of Cambridge, UK, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from a supportive environment that prioritises professional growth, with ample opportunities for skill development in cutting-edge AI technologies. Join us to be part of a forward-thinking team dedicated to making a meaningful impact in the life sciences sector.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid AI Engineer — Real-World GenAI & RAG in Cambridge
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and life sciences sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show your passion for the field.
✨Tip Number 2
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your experience with LLM frameworks. We recommend practising common interview questions and even doing mock interviews with friends or mentors.
✨Tip Number 3
Showcase your projects! If you've worked on any AI-powered applications, make sure to have them ready to discuss. A portfolio can really set you apart and demonstrate your hands-on experience.
✨Tip Number 4
Apply through our website! We make it easy for you to find opportunities that match your skills. Plus, applying directly shows your enthusiasm for joining our innovative team at Envision Pharma Group.
We think you need these skills to ace Hybrid AI Engineer — Real-World GenAI & RAG in Cambridge
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI shine through! We want to see how your experience aligns with our mission at Envision Pharma Group and how you can contribute to impactful AI solutions.
Highlight Relevant Experience:Make sure to detail your experience with Python and any modern LLM frameworks. We’re looking for candidates with over 3 years of experience, so don’t be shy about showcasing your skills and projects that demonstrate your expertise!
Tailor Your Application:Take a moment to customise your application for this role. Mention specific projects or experiences that relate to developing and deploying AI-powered applications, especially in the life sciences sector. It shows us you’ve done your homework!
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. Plus, it’s super easy!
How to prepare for a job interview at Envision Pharma Group
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with the latest LLM frameworks. Be ready to discuss specific projects where you've applied these technologies, as this will show your practical experience and understanding of AI ethics.
✨Showcase Your Team Spirit
Since you'll be working closely with multi-disciplinary teams, prepare examples that highlight your collaboration skills. Think about times when you successfully worked with others to solve complex problems or deliver projects.
✨Prepare for Scenario Questions
Expect questions that ask how you would approach real-world challenges in AI. Practice articulating your thought process and decision-making strategies, especially in relation to developing scalable solutions in the life sciences sector.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions. Inquire about the team dynamics, ongoing projects, or how they integrate AI ethics into their work. This shows your genuine interest in the role and the company.
