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- Tasks: Design and develop intelligent systems using AI and LLMs in a collaborative environment.
- Company: Join a leading global digital marketing firm with a focus on innovation.
- Benefits: Enjoy hybrid work flexibility, healthcare, and personal development opportunities.
- Other info: Dynamic team atmosphere with great career advancement potential.
- Why this job: Make an impact in the AI field while working with cutting-edge technologies.
- Qualifications: 3+ years in AI, strong Python skills, and experience with LLMs required.
The predicted salary is between 60000 - 80000 £ per year.
A leading global digital marketing firm is seeking a Senior AI Agent Engineer with at least 3 years of experience in AI and LLMs. You will design, develop, and deploy intelligent systems while collaborating with cross-functional teams.
The ideal candidate should have:
- Strong skills in Python
- Proven ability with LLMs
- A solid understanding of agentic frameworks
The position offers hybrid work flexibility and a competitive benefits package including healthcare and personal development plans.
Senior AI Engineer: Agentic LLM Architect employer: Publicis Groupe ANZ
Contact Detail:
Publicis Groupe ANZ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer: Agentic LLM Architect
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and LLMs. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AI and agentic frameworks. Practice explaining your past projects and how they relate to the role you're applying for.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior AI Engineer: Agentic LLM Architect
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 3+ years of experience in AI and LLMs. We want to see how you've designed, developed, and deployed intelligent systems in your previous roles. Use specific examples to demonstrate your skills!
Get Technical: Since this role requires strong Python skills, don’t shy away from showcasing your coding prowess. Include any relevant projects or contributions that illustrate your expertise with LLMs and agentic frameworks. We love a good technical story!
Collaborate Like a Pro: This position involves working with cross-functional teams, so let us know about your teamwork experiences. Share instances where you’ve successfully collaborated with others to achieve a common goal. We value collaboration at StudySmarter!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Don’t miss out!
How to prepare for a job interview at Publicis Groupe ANZ
✨Know Your LLMs Inside Out
Make sure you brush up on your knowledge of large language models (LLMs) before the interview. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show your depth of understanding and practical experience.
✨Showcase Your Python Skills
Since Python is a key requirement for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot or discuss your previous code. Practising common algorithms and data structures in Python can give you an edge.
✨Understand Agentic Frameworks
Familiarise yourself with agentic frameworks and be prepared to explain how they apply to AI systems. Think of examples where you've implemented these frameworks in your work, as this will highlight your relevant experience and expertise.
✨Prepare for Cross-Functional Collaboration Questions
As collaboration is key in this role, think about past experiences where you've worked with different teams. Be ready to share how you communicated complex AI concepts to non-technical stakeholders, as this will demonstrate your ability to bridge gaps between teams.