At a Glance
- Tasks: Design and deploy advanced AI systems, focusing on large language models and voice AI.
- Company: Global enterprise leading AI-driven transformation across industries.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on innovation and career advancement.
- Why this job: Join a cutting-edge team and make a real impact in the AI landscape.
- Qualifications: Experience in AI engineering and strong collaboration skills required.
The predicted salary is between 90000 - 90000 £ per year.
We're representing a role at a global enterprise at the forefront of AI-driven transformation, building scalable, production-grade intelligent systems that power real-world business outcomes. The teams operate at the intersection of cutting-edge research and robust engineering, delivering AI solutions across industries at scale.
The Role
We are seeking a Senior AI Engineer to design, build, and deploy advanced AI systems with a focus on large language models (LLMs), voice AI, and distributed infrastructure. You will play a key role in architecting enterprise-grade AI platforms, working closely with product, data, and engineering teams to deliver high-impact solutions.
Key Responsibilities
- Design and implement LLM-powered applications using modern orchestration frameworks
- Build scalable pipelines for training, fine-tuning, and deploying AI models
- Develop and optimize retrieval-augmented generation (RAG) systems
- Architect and manage vector search infrastructure for high-performance semantic retrieval
- Integrate voice AI capabilities into applications and services
- Deploy and manage model serving infrastructure in production environments
- Collaborate across teams to translate business needs into AI-driven solutions
- Ensure observability, monitoring, and continuous improvement of AI systems
Senior AI Engineer (Enterprise AI Platform): £90k+: London hybrid employer: Hunter Bond
Contact Detail:
Hunter Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer (Enterprise AI Platform): £90k+: London hybrid
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and voice AI. We want to see your work in action, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. We recommend practising common interview questions related to AI systems and being ready to discuss your past experiences in detail.
✨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 are proactive about their job search.
We think you need these skills to ace Senior AI Engineer (Enterprise AI Platform): £90k+: London hybrid
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior AI Engineer role. Highlight your experience with large language models, voice AI, and any relevant projects that showcase your skills in building scalable AI systems.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with our mission at StudySmarter. Be specific about your achievements and how they relate to the role.
Showcase Your Technical Skills: Don’t forget to include your technical skills in your application. Mention any orchestration frameworks, model serving infrastructure, or retrieval-augmented generation systems you’ve worked with. We want to see what you can bring to the table!
Apply Through Our Website: We encourage you to apply 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 Hunter Bond
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI, especially around large language models and voice AI. Be ready to discuss your previous projects and how they relate to the role. This shows you're not just familiar with the tech but can also apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios during the interview. Think about how you would design scalable pipelines or optimise retrieval-augmented generation systems. This will demonstrate your critical thinking and engineering prowess.
✨Collaboration is Key
Since the role involves working closely with product, data, and engineering teams, be ready to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you translate complex technical concepts for non-technical stakeholders.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's AI strategy and the specific challenges they face. This not only shows your interest in the role but also helps you gauge if the company aligns with your career goals and values.