At a Glance
- Tasks: Design and develop innovative Generative AI solutions using Large Language Models.
- Company: Join a globally established organisation at the forefront of AI technology.
- Benefits: Up to £80,000 salary, bonus, benefits, and hybrid working.
- Other info: Dynamic team environment with opportunities for professional growth and exposure to emerging technologies.
- Why this job: Work on cutting-edge AI projects that make a real impact in enterprise environments.
- Qualifications: Experience with Generative AI, Python, and modern AI frameworks required.
The predicted salary is between 60000 - 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 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 model that promotes flexibility and work-life balance, alongside competitive salary packages, bonuses, and comprehensive benefits. With a strong emphasis on employee growth and collaboration, this role offers the opportunity to work with cutting-edge technologies in a supportive environment that values innovation and responsible AI practices.
StudySmarter Expert Advice🤫
We think this is how you could land Generative AI Engineer (LLMs) - Hybrid Enterprise
✨Get Involved in Data Science Meetups
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Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Generative AI Engineer (LLMs) - Hybrid Enterprise at Involved Solutions.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Involved Solutions.
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When you find a suitable opening like Generative AI Engineer (LLMs) - Hybrid Enterprise at Involved Solutions, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Generative AI Engineer (LLMs) - Hybrid Enterprise
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Involved Solutions, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Involved Solutions. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Involved Solutions
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Involved Solutions!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
