AI Engineer: Agentic & Generative AI Architect

AI Engineer: Agentic & Generative AI Architect

Full-Time 60000 - 80000 £ / year (est.) No working from home possible

At a Glance

  • Tasks: Design and deploy cutting-edge AI solutions in a dynamic team.
  • Company: Join a forward-thinking company at the forefront of AI innovation.
  • Benefits: Enjoy competitive pay, flexible working hours, and great perks.
  • Other info: Collaborative environment with opportunities for professional growth.
  • Why this job: Make a real impact by enhancing generative AI technologies.
  • Qualifications: Strong Python skills and experience with LLMs like GPT required.

The predicted salary is between 60000 - 80000 £ per year.

慨正橡扯 is seeking an experienced AI Engineer to design, architect, and deploy robust AI solutions in a multidisciplinary team. The role focuses on developing advanced analysis capabilities and enhancing generative AI. Ideal candidates will have strong Python proficiency and experience with LLMs, such as GPT. A collaborative approach is essential, as this position involves working directly with clients to ensure solutions align with their needs. The company offers competitive benefits and a flexible working environment.

AI Engineer: Agentic & Generative AI Architect employer: 慨正橡扯

At 慨正橡扯, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our AI Engineers to thrive. Our commitment to employee growth is reflected in our competitive benefits, flexible working environment, and opportunities for professional development, making this an ideal place for those looking to make a meaningful impact in the field of AI.

Contact Details:

慨正橡扯 Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Engineer: Agentic & Generative AI Architect

Tip Number 1

Network like a pro! Reach out to people in the AI field, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that might just land you an interview.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and LLMs. This is your chance to demonstrate your expertise and creativity, so make it shine!

Tip Number 3

Prepare for interviews by practising common AI-related questions and scenarios. Think about how you can explain complex concepts simply, as you'll need to communicate effectively with clients and team members.

Tip Number 4

Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about AI. Plus, it shows you're serious about joining our team!

We think you need these skills to ace AI Engineer: Agentic & Generative AI Architect

AI Solution Design
Architectural Skills
Deployment of AI Solutions
Advanced Analysis Capabilities
Generative AI Development
Python Proficiency
Experience with LLMs

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your Python proficiency and any experience you have with LLMs like GPT. We want to see how your skills align with the role, so don’t hold back!

Tailor Your Application:Take a moment to customise your application for this specific role. Mention how your past experiences can help us design and deploy robust AI solutions that meet client needs.

Be Collaborative:Since this role involves working closely with clients, share examples of how you've successfully collaborated in the past. We love seeing teamwork in action!

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!

How to prepare for a job interview at 慨正橡扯

Know Your AI Stuff

Make sure you brush up on your knowledge of AI concepts, especially around generative AI and LLMs like GPT. Be ready to discuss your past projects and how you've used Python to solve complex problems.

Show Off Your Collaboration Skills

Since this role involves working closely with clients, be prepared to share examples of how you've successfully collaborated in a team setting. Highlight any experiences where you’ve tailored solutions to meet client needs.

Prepare for Technical Questions

Expect some technical questions during the interview. Practice coding challenges or problem-solving scenarios that might come up, especially those related to AI architecture and deployment.

Ask Insightful Questions

At the end of the interview, don’t forget to ask questions! Inquire about the company’s current AI projects or their approach to client collaboration. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.