At a Glance
- Tasks: Design and develop innovative AI solutions using Large Language Models (LLMs) and Python.
- Company: Globally established organisation focused on next-gen AI solutions.
- Benefits: Up to £80,000 salary, bonus, benefits, and hybrid working.
- Other info: Dynamic environment with strong exposure to emerging technologies.
- Why this job: Join a growing team and work on cutting-edge Generative AI projects.
- Qualifications: Experience with LLMs, Python, and modern AI/ML 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.
Generative AI Engineer (LLMs) — Hybrid Enterprise in Belfast 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. Enjoy a hybrid work environment that promotes collaboration and innovation, alongside competitive salary packages, bonuses, and comprehensive benefits. With a strong focus on employee growth and development, this role offers the opportunity to work with cutting-edge technologies while contributing to impactful projects in a supportive and forward-thinking culture.
StudySmarter Expert Advice🤫
We think this is how you could land Generative AI Engineer (LLMs) — Hybrid Enterprise in Belfast
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and Python. This is your chance to demonstrate your expertise and creativity, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to Generative AI and LLMs. Practice explaining your past projects and how they relate to the role. Confidence is key, so get comfortable talking about your experience!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Generative AI Engineer (LLMs) — Hybrid Enterprise in Belfast
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 prompt engineering or AI-driven applications. This gives us a glimpse into your hands-on experience and creativity!
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure to communicate your skills and experiences without unnecessary fluff!
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 Involved Solutions
✨Know Your LLMs
Make sure you brush up on your knowledge of Large Language Models. Be ready to discuss how you've used them in past projects, and think about specific examples where you've designed or optimised AI solutions. This will show your depth of understanding and practical experience.
✨Show Off Your Python Skills
Since Python is a key requirement for this role, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. Familiarise yourself with frameworks like TensorFlow and PyTorch, as they could come up in conversation.
✨Understand the Business Context
This role involves translating business requirements into AI solutions, so do your homework on the company and its industry. Think about how Generative AI can solve real-world problems in their context. This will help you align your answers with their needs during the interview.
✨Prepare for Collaboration Questions
Collaboration is key in this role, especially when working with stakeholders. Be ready to share examples of how you've worked in Agile environments and how you've integrated feedback into your projects. Highlight your communication skills and ability to work within a team.
