At a Glance
- Tasks: Design and build real-world AI solutions using Generative AI and LLM technologies.
- Company: Join a global organisation with a modern tech stack and a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with exciting projects and excellent career advancement opportunities.
- Why this job: Make a real impact by embedding AI into core business processes and driving automation.
- Qualifications: Strong software engineering skills in Python/TypeScript and hands-on GenAI/LLM experience.
The predicted salary is between 60000 - 80000 € per year.
We’re working with a global organisation that has built a modern tech stack from the ground up and is now investing heavily in Generative AI / LLM capability across the business. This is a hands‑on role within a platform engineering team, focused on designing, building and scaling real-world AI solutions – not just proof of concepts. You’ll play a key role in embedding AI into core business processes and driving automation at scale.
What you’ll be doing:
- Building and deploying GenAI / LLM-based solutions
- Designing scalable ML systems and supporting them in production (MLOps)
- Automating business and IT processes using AI
- Collaborating with cross‑functional teams to roll out AI capabilities
What they’re looking for:
- Strong software engineering background (Python / TypeScript)
- Hands‑on experience with GenAI / LLMs
- Solid understanding of MLOps and deploying ML systems
- Cloud experience (Azure or GCP)
- Experience delivering real‑world AI solutions (not just experimentation)
AI Engineer in Hampshire employer: Roc Search
Join a forward-thinking global organisation that prioritises innovation and employee development, offering a dynamic work culture where your contributions directly impact the integration of AI into core business processes. With a strong emphasis on collaboration and hands-on experience, you'll have access to cutting-edge technology and opportunities for professional growth in a supportive environment that values creativity and initiative.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in Hampshire
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving GenAI and LLMs. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding MLOps principles. Practice common algorithms and system design questions to feel confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills, and applying directly can sometimes give you an edge. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace AI Engineer in Hampshire
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with GenAI and LLMs. We want to see how your skills align with the role, so don’t be shy about showcasing your hands-on projects and relevant software engineering background.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about embedding AI into core business processes. Let us know how your past experiences have prepared you for this hands-on role in our platform engineering team.
Showcase Real-World Solutions:We’re looking for candidates who have delivered real-world AI solutions, not just theoretical knowledge. Be sure to include specific examples of projects where you’ve designed, built, or scaled AI systems, especially in production 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’re considered for the role. Plus, it makes the whole process smoother for everyone involved!
How to prepare for a job interview at Roc Search
✨Know Your Tech Stack
Make sure you’re familiar with the modern tech stack mentioned in the job description. Brush up on your Python and TypeScript skills, as well as any relevant cloud platforms like Azure or GCP. Being able to discuss your hands-on experience with GenAI and LLMs will show that you’re ready to hit the ground running.
✨Showcase Real-World Solutions
Prepare to talk about specific AI solutions you've built and deployed in the past. Focus on how these projects went beyond proof of concepts and made a tangible impact. This will demonstrate your ability to deliver real-world results, which is crucial for this role.
✨Understand MLOps
Since MLOps is a key part of the role, make sure you can explain how you’ve designed and supported scalable ML systems in production. Be ready to discuss the challenges you faced and how you overcame them, as this will highlight your problem-solving skills.
✨Collaboration is Key
This role involves working with cross-functional teams, so be prepared to share examples of how you’ve successfully collaborated in the past. Highlight your communication skills and how you’ve driven automation at scale through teamwork, as this will show you’re a great fit for their culture.
