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- Tasks: Design and develop cutting-edge generative AI models for real-world applications.
- Company: Join a forward-thinking tech company focused on AI innovation.
- Benefits: Competitive daily rate, remote work flexibility, and opportunities for professional growth.
- Other info: Collaborative team environment with exciting projects and career advancement potential.
- Why this job: Be at the forefront of AI technology and make a significant impact in the industry.
- Qualifications: Experience in AI/ML pipelines and strong programming skills in Python, Java, or Node.js.
The predicted salary is between 90000 - 126000 £ per year.
The Gen AI Engineer will be a specialized type of artificial intelligence professional, focused on designing, developing & implementing generative AI models and algorithms. Working collaboratively with the team to ensure project deadlines are met.
- Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases.
- Build and fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.).
- Apply prompt engineering, RAG (Retrieval-Augmented Generation), and context-aware pipelines to ensure accuracy and relevance.
- Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js backends.
- Collaborate with architects to define scalable and secure AI service architectures.
- Experience in implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML).
- Manage model evaluation, drift monitoring, and continuous improvement processes.
- Optimize inference performance and cost (e.g., model compression, quantization, API optimization).
- Ensure compliance with AI ethics, security, and governance standards.
- Prepare and curate training datasets (structured/unstructured text, images, code).
- Apply data preprocessing, tokenization, and embedding generation techniques.
- Work with vector databases (Pinecone, Weaviate, FAISS, Chroma) for semantic retrieval use cases.
- Partner with business stakeholders to identify and shape AI use cases.
- Contribute to the creation of a strategic AI adoption roadmap and reusable AI Workbench/platform components.
- Support POCs, pilots, and full-scale implementations with agile delivery.
- Document and present solution designs, technical findings, and results to leadership and clients.
Generative AI Engineer in Wolverhampton employer: Avensys Consulting UK
Contact Detail:
Avensys Consulting UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI Engineer in Wolverhampton
✨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 help you land that Generative AI Engineer gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with generative AI models. Whether it's chatbots or document Q&A systems, we want to see what you've built. This can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of LLMs, Transformers, and the tools mentioned in the job description. We recommend doing mock interviews with friends or using online platforms to get comfortable with the questions you might face.
✨Tip Number 4
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. Let’s get you that Generative AI Engineer role!
We think you need these skills to ace Generative AI Engineer in Wolverhampton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Generative AI Engineer role. Highlight your experience with AI models, algorithms, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about generative AI and how you can contribute to our team. Be sure to mention specific technologies or methodologies from the job description that you’re familiar with.
Showcase Your Projects: If you've worked on any generative AI projects, make sure to showcase them in your application. Whether it's a chatbot, a document summarisation tool, or anything else, we love seeing real-world applications of your skills!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Avensys Consulting UK
✨Know Your Generative AI Models
Make sure you brush up on the specific generative AI models mentioned in the job description, like LLMs and Transformers. Be ready to discuss your experience with these models and how you've implemented them in past projects.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python, Java, or Node.js. Have examples ready of how you've integrated AI models with enterprise systems and optimised performance. This will show that you can hit the ground running.
✨Understand AI Ethics and Governance
Familiarise yourself with AI ethics, security, and governance standards. Be prepared to discuss how you ensure compliance in your work, as this is crucial for any role involving AI.
✨Collaborate and Communicate
Since collaboration is key in this role, think of examples where you've worked with teams or stakeholders to shape AI use cases. Highlight your communication skills and how you document and present technical findings effectively.