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- Tasks: Develop and deploy AI solutions that transform the life sciences industry.
- Company: Leading AI solutions provider with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and supportive work culture.
- Why this job: Join a team making a real difference with AI-driven applications.
- Qualifications: 3+ years in software engineering, Python proficiency, and LLM API knowledge.
- Other info: Empowering environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI solutions provider is seeking an experienced AI Engineer to develop and deploy AI solutions that impact the life sciences industry. This hybrid role involves collaboration with data scientists and software engineers to deliver robust applications.
The ideal candidate will have:
- Over 3 years of experience in software engineering
- Proficiency in Python
- Knowledge of LLM APIs
Join a team dedicated to creating meaningful AI-driven applications in a supportive and empowering work environment.
AI Engineer — Pragmatic GenAI, RAG & Production in Cambridge employer: Envision Pharma Group
Contact Detail:
Envision Pharma Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer — Pragmatic GenAI, RAG & Production in Cambridge
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to life sciences. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your experience with Python and LLM APIs in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to stay updated on new openings and company news.
We think you need these skills to ace AI Engineer — Pragmatic GenAI, RAG & Production in Cambridge
Some tips for your application 🫡
Showcase Your Experience: Make sure to highlight your experience in software engineering, especially if you've got over 3 years under your belt. We want to see how your skills in Python and LLM APIs can contribute to our mission in the life sciences industry.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the AI Engineer role. We love seeing how you can connect your past experiences with what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your key skills and experiences shine through without any fluff!
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 don’t miss out on any important updates from our team!
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 be ready to discuss your experience with LLM APIs. The interviewers will likely ask you technical questions, so being able to demonstrate your knowledge and problem-solving abilities is key.
✨Showcase Your Collaboration Skills
Since this role involves working closely with data scientists and software engineers, be prepared to share examples of how you've successfully collaborated in the past. Highlight any projects where teamwork led to impactful results, as this will show you're a great fit for their supportive environment.
✨Understand the Life Sciences Industry
Familiarise yourself with how AI is currently being used in the life sciences sector. Being able to discuss relevant applications or trends will not only impress your interviewers but also demonstrate your genuine interest in the field.
✨Prepare Thoughtful Questions
At the end of the interview, you'll likely have the chance to ask questions. Prepare some thoughtful ones that show your enthusiasm for the role and the company. This could include inquiries about their current projects or how they envision the future of AI in life sciences.
