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- Tasks: Join a startup to develop and deploy cutting-edge AI applications using Large Language Models.
- Company: Be part of an innovative startup pushing the boundaries of Data and AI.
- Benefits: Enjoy a flexible work environment with opportunities for growth and impact.
- Why this job: Contribute to groundbreaking projects and be part of a founding team shaping the future.
- Qualifications: Bachelor’s or Master’s in Computer Science, 3+ years in machine learning, and LLM expertise required.
- Other info: Salary is negotiable based on experience; UK work rights are essential.
The predicted salary is between 43200 - 72000 £ per year.
UpViVA have partnered with an exciting startup who are pushing the boundaries of Data and AI. They are looking for an experienced AI Engineer with expertise in Large Language Models (LLMs) to join our team and work on the development of advanced generative AI applications. You will be responsible for fine-tuning, customising, and integrating state-of-the-art LLMs to drive real-world impact across our clients’ products and platforms. This role is ideal for someone who wants to be part of a founding team.
The Role:
- Develop and deploy LLM-based solutions tailored to specific business needs (e.g., chatbots, summarization, content generation, semantic search)
- Fine-tune and customize pre-trained LLMs for targeted applications
- Conduct prompt engineering, few-shot learning, and optimise model performance
- Build pipelines for scalable model training, inference, and evaluation
- Integrate LLMs into end-user applications via APIs or custom deployments
- Analyse outputs and optimize performance for accuracy, latency, cost, and safety
- Stay on top of the latest research in LLMs, including open-source developments and benchmarks
- Work closely with product and engineering teams to bring LLM-powered features from concept to production
The Person:
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, or related field
- 3+ years of experience in machine learning or NLP, with significant hands-on experience with LLMs
- Proficiency with LLM frameworks such as Hugging Face Transformers, OpenAI API, LangChain, or similar
- Experience fine-tuning large transformer models or implementing retrieval-augmented generation systems
- Strong Python programming skills and familiarity with ML libraries (e.g., PyTorch, TensorFlow)
- Knowledge of prompt engineering best practices and prompt optimization
- Understanding of LLM evaluation methods, including human-in-the-loop and automated metrics
- Familiarity with deploying LLMs in cloud or containerised environments
The salary for this opportunity is negotiable on experience. Reach out for full information - submit your CV for a confidential call, or contact carol@vivatechtalent.com.
All candidates must have the right to work in the UK - VISA sponsorship is not available.
Contact Detail:
Job Traffic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer
✨Tip Number 1
Network with professionals in the AI and machine learning community. Attend meetups, webinars, or conferences focused on LLMs to connect with potential colleagues and learn about the latest trends in the field.
✨Tip Number 2
Showcase your hands-on experience with LLM frameworks by contributing to open-source projects or creating your own projects. This not only demonstrates your skills but also highlights your passion for AI development.
✨Tip Number 3
Stay updated on the latest research and advancements in LLMs. Follow relevant publications, blogs, and social media accounts to ensure you can discuss current trends and innovations during interviews.
✨Tip Number 4
Prepare to discuss specific examples of how you've fine-tuned and integrated LLMs in previous roles. Be ready to explain your thought process and the impact your work had on the projects you were involved in.
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Large Language Models (LLMs) and relevant machine learning projects. Use specific examples that demonstrate your skills in fine-tuning and deploying LLMs.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your desire to be part of a founding team. Mention how your background aligns with the startup's goals and how you can contribute to their innovative projects.
Showcase Relevant Skills: In your application, emphasise your proficiency with frameworks like Hugging Face Transformers and your programming skills in Python. Highlight any experience you have with prompt engineering and model evaluation methods.
Research the Company: Familiarise yourself with UpViVA and their mission. Understanding their focus on data and AI will help you tailor your application and show that you're genuinely interested in being part of their team.
How to prepare for a job interview at Job Traffic
✨Showcase Your LLM Expertise
Be prepared to discuss your hands-on experience with large language models. Highlight specific projects where you've fine-tuned or customised LLMs, and be ready to explain the impact of your work on real-world applications.
✨Demonstrate Problem-Solving Skills
Expect to face technical challenges during the interview. Practice explaining your thought process for solving problems related to model performance optimisation, prompt engineering, and integrating LLMs into applications.
✨Stay Updated on AI Trends
Research the latest developments in LLMs and generative AI. Being knowledgeable about recent advancements and open-source projects will show your passion for the field and your commitment to staying ahead of the curve.
✨Prepare for Team Collaboration Questions
Since this role involves working closely with product and engineering teams, be ready to discuss your experience in collaborative environments. Share examples of how you've successfully communicated technical concepts to non-technical stakeholders.
