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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 innovation and collaboration.
- Benefits: Competitive daily rate, remote work flexibility, and opportunities for professional growth.
- 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.
- Other info: Dynamic remote work environment with exciting projects and career advancement potential.
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 Crawley 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 Crawley
✨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 role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your generative AI projects. Whether it's a chatbot or a model you've fine-tuned, having tangible examples 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 latest in AI ethics. We recommend practicing common interview questions and even doing mock interviews with friends to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, applying directly can sometimes give you a leg up in the hiring process.
We think you need these skills to ace Generative AI Engineer in Crawley
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 the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Avensys Consulting UK
✨Know Your Generative AI Inside Out
Make sure you brush up on the latest trends and technologies in generative AI. Be ready to discuss specific models like LLMs, Transformers, and Diffusion models, as well as your experience with them. This shows you're not just familiar but passionate about the field.
✨Showcase Your Collaboration Skills
Since the role involves working closely with a team, be prepared to share examples of how you've successfully collaborated on projects. Highlight your ability to communicate effectively with both technical and non-technical stakeholders, as this will be crucial for integrating AI models with enterprise systems.
✨Demonstrate Your Problem-Solving Approach
Think of specific challenges you've faced in previous roles related to AI/ML pipelines or model deployment. Discuss how you approached these problems, the tools you used (like MLflow or Azure ML), and the outcomes. This will illustrate your hands-on experience and critical thinking skills.
✨Prepare Questions That Matter
Interviews are a two-way street, so come armed with thoughtful questions about the company's AI strategy, their approach to ethics in AI, or how they measure success in AI projects. This not only shows your interest but also helps you gauge if the company aligns with your values.