At a Glance
- Tasks: Design and develop innovative AI solutions using cutting-edge Large Language Models.
- Company: Globally established organisation focused on next-gen AI technologies.
- Benefits: Up to £80,000 salary, bonus, benefits, and hybrid working.
- Other info: Great career growth opportunities in a complex enterprise environment.
- Why this job: Join a dynamic team and make an impact with Generative AI in real-world applications.
- Qualifications: Experience with Python, LLMs, and modern AI frameworks required.
The predicted salary is between 80000 - 80000 £ per year.
A globally established organisation is seeking a Generative AI Engineer to join a growing team focused on delivering next-generation AI solutions within a complex enterprise environment.
This role will focus on designing and deploying LLM-powered applications, integrating Generative AI into enterprise systems, and building scalable AI-driven solutions that support real-time, high-volume use cases.
Responsibilities for the Generative AI Engineer:
- Design and develop Generative AI solutions using Large Language Models (LLMs)
- Perform prompt engineering and optimisation for enterprise-scale applications
- Build AI-driven applications using Python and modern AI/ML frameworks
- Integrate AI capabilities into enterprise systems, APIs and data platforms
- Collaborate with stakeholders to translate business requirements into AI solutions
- Support model evaluation, tuning, monitoring and performance optimisation
- Ensure solutions align with security, governance and responsible AI principles
- Document solution design, workflows and best practices
Essential Skills for the Generative AI Engineer:
- Hands-on experience with Generative AI and LLMs
- Strong programming skills in Python
- Experience with frameworks such as TensorFlow, PyTorch, LangChain or similar
- Experience with prompt engineering and LLM integration
- Exposure to cloud platforms (AWS, Azure or GCP)
- Experience integrating APIs and microservices architectures
- Experience working within Agile environments
Desirable Skills for the Generative AI Engineer:
- Experience with OpenAI, Azure OpenAI or similar platforms
- Understanding of MLOps or AI model lifecycle management
- Experience within financial services or regulated environments
If you are an AI Engineer looking to work on cutting-edge Generative AI solutions within a complex enterprise environment, this role offers strong exposure to emerging technologies and high-impact delivery.
AI Engineer - up to £80,000 + Bonus + Benefits - Belfast/Hybrid employer: Involved Solutions
Join a globally established organisation in Belfast as a Generative AI Engineer, where you will be part of a dynamic team dedicated to pioneering next-generation AI solutions. With a strong emphasis on employee growth and a hybrid work culture, the company offers competitive salaries, bonuses, and benefits, alongside opportunities to work with cutting-edge technologies in a supportive environment that values innovation and collaboration.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - up to £80,000 + Bonus + Benefits - Belfast/Hybrid
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow AI enthusiasts. 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 projects, especially those involving LLMs and Python. 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 interview questions related to Generative AI and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace AI Engineer - up to £80,000 + Bonus + Benefits - Belfast/Hybrid
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Generative AI and LLMs. We want to see how your skills in Python and frameworks like TensorFlow or PyTorch align with what we're looking for!
Showcase Your Projects:Include any relevant projects you've worked on, especially those involving AI-driven applications. We love seeing real-world examples of your work, so don’t hold back!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're passionate about AI and how you can contribute to our team. Make it personal and engaging – we want to get to know you!
Apply Through Our Website:For the best chance of success, apply directly through our website. It helps us keep track of your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Involved Solutions
✨Know Your Generative AI Inside Out
Make sure you brush up on your knowledge of Generative AI and Large Language Models (LLMs). Be prepared to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show your hands-on experience and passion for the field.
✨Show Off Your Python Skills
Since strong programming skills in Python are essential, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot or explain your thought process behind a piece of code. Practising common algorithms and data structures can really help here.
✨Familiarise Yourself with AI Frameworks
Get comfortable with frameworks like TensorFlow, PyTorch, and LangChain. If you have experience with any of these, be prepared to discuss how you've used them in past projects. Highlighting your familiarity with these tools can set you apart from other candidates.
✨Understand the Business Side
This role involves collaborating with stakeholders to translate business requirements into AI solutions. Brush up on how to communicate technical concepts to non-technical audiences. Being able to articulate how your AI solutions can drive business value will make a great impression.
