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- Tasks: Lead the development of impactful AI solutions in a dynamic environment.
- Company: Top recruitment agency known for innovation and excellence.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future of AI while solving real-world business challenges.
- Qualifications: 10-15 years in engineering with expertise in agentic AI systems.
- Other info: Fast-paced role with significant career advancement potential.
The predicted salary is between 54000 - 84000 £ per year.
A leading recruitment agency is seeking an AI Engineering Lead to deliver high-impact AI solutions in a fast-paced environment. This hands-on role requires 10–15 years of experience in engineering and expertise in building agentic AI systems. The candidate will work closely with product leadership and tackle concrete business problems using Amazon Q within a .NET and Angular stack, integrating AI into real-world products effectively.
Agentic AI Engineering Lead - Hands-On, Senior employer: Apply Recruitment
Contact Detail:
Apply Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Agentic AI Engineering Lead - Hands-On, Senior
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and engineering fields. Attend meetups or webinars, and don’t be shy about asking for introductions. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your hands-on experience with agentic AI systems. Include projects where you've tackled real-world problems using tech like Amazon Q, .NET, and Angular. This will make you stand out when we’re looking for someone who can hit the ground running.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practising common interview questions related to AI engineering and thinking through how you’d approach specific business challenges. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to engage directly with us. Let’s get you that dream job!
We think you need these skills to ace Agentic AI Engineering Lead - Hands-On, Senior
Some tips for your application 🫡
Showcase Your Experience: Make sure to highlight your 10–15 years of engineering experience in your application. We want to see how you've tackled real-world problems and built agentic AI systems, so don’t hold back on the details!
Tailor Your Application: Customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We love seeing candidates who take the time to align their background with what we’re looking for.
Be Hands-On: Since this is a hands-on role, share examples of your practical work with AI solutions. We’re interested in how you’ve integrated AI into products using technologies like .NET and Angular, so let us know about your projects!
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. Don’t miss out!
How to prepare for a job interview at Apply Recruitment
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of agentic AI systems. Be ready to discuss your past projects and how you've tackled real-world problems using AI. This will show that you not only understand the theory but can also apply it practically.
✨Familiarise Yourself with the Tech Stack
Since the role involves working with .NET and Angular, it’s crucial to be comfortable discussing these technologies. Prepare examples of how you've used them in previous roles, especially in relation to AI integration.
✨Showcase Your Leadership Skills
As a senior position, they’ll be looking for someone who can lead a team effectively. Think of instances where you've guided a project or mentored others, and be ready to share those experiences during the interview.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities. Practice articulating your thought process when tackling complex issues, particularly those related to AI solutions in a fast-paced environment.
