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For Companies At a Glance
- Tasks: Design and deploy cutting-edge AI systems in a fast-paced environment.
- Company: Join a fast-growing company revolutionising AI-driven platforms.
- Benefits: Competitive salary up to £120,000 and opportunities for professional growth.
- Other info: Hands-on role with significant ownership and impact.
- Why this job: Shape the future of AI in critical, data-intensive domains.
- Qualifications: 5+ years in Machine Learning with strong production AI experience.
The predicted salary is between 100000 - 120000 £ per year.
This is a unique opportunity for an experienced AI engineer to join a fast-growing company building AI-driven platforms operating within complex, rules-based, and highly regulated environments. If you have a strong background in building production-ready AI systems using LLMs, this role offers high ownership and the chance to shape how AI is applied in critical, data-intensive domains.
The Role:
- Design, build, and deploy agentic AI systems within a scalable, production environment.
- This is a hands-on engineering role with significant ownership, where you will:
- Develop AI-driven workflows for decision-making within complex, rules-based systems.
- Build and integrate LLM-powered systems into existing platforms.
- Work with large-scale structured datasets.
Requirements:
- 5+ years of Machine Learning engineering experience.
- Strong experience building production AI / ML systems.
- Experience with LLMs and agentic AI frameworks.
Senior AI Engineer (Agentic / Applied AI) in Suffolk employer: Platform Recruitment
Contact Detail:
Platform Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer (Agentic / Applied AI) in Suffolk
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Senior AI Engineer role.
✨Tip Number 2
Showcase your skills! Create a portfolio or GitHub repository with your best projects, especially those involving LLMs and agentic AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common AI engineering questions and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out.
We think you need these skills to ace Senior AI Engineer (Agentic / Applied AI) in Suffolk
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI systems and LLMs. We want to see how your skills match the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about AI and how your background makes you the perfect fit for this role. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any cool AI projects, make sure to mention them! We love seeing real-world applications of your skills, especially in complex environments.
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!
How to prepare for a job interview at Platform Recruitment
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs and agentic AI frameworks. Be ready to discuss specific projects you've worked on, especially those involving production-ready AI systems. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex, rules-based challenges in your previous roles. Think of examples where your AI-driven workflows made a significant impact. This will demonstrate your ability to think critically and apply your skills in real-world scenarios.
✨Understand the Company’s Vision
Research the company’s mission and values, especially how they relate to AI in regulated environments. Being able to align your answers with their goals will show that you're genuinely interested in the role and can contribute to their vision.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, the technology stack, and the challenges they face. This not only shows your enthusiasm for the position but also helps you gauge if the company is the right fit for you.