At a Glance
- 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.
- Other info: Salary is negotiable based on experience; UK work rights are essential.
- 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.
The predicted salary is between 36000 - 60000 £ 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.
Artificial Intelligence Engineer in Lisburn employer: ViVA Tech Talent
At UpViVA, we pride ourselves on being an innovative startup at the forefront of Data and AI, offering a dynamic work environment that fosters creativity and collaboration. As part of our founding team, you'll have the unique opportunity to shape cutting-edge generative AI applications while enjoying a culture that prioritises employee growth and development. With competitive compensation and a commitment to staying ahead in the rapidly evolving tech landscape, UpViVA is the perfect place for passionate individuals looking to make a real-world impact.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer in Lisburn
✨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 gives you something tangible to discuss during interviews.
✨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 speak knowledgeably about current trends and innovations during your conversations with the hiring team.
✨Tip Number 4
Prepare for technical discussions by practising common interview questions related to prompt engineering, model fine-tuning, and performance optimisation. Being well-prepared will help you demonstrate your expertise and confidence in the subject matter.
We think you need these skills to ace Artificial Intelligence Engineer in Lisburn
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Large Language Models 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 understanding of the startup environment. Mention how your background aligns with the company's goals and how you can contribute to their innovative projects.
Showcase Relevant Projects:Include a portfolio or links to projects where you've worked with LLMs or similar technologies. This could be GitHub repositories, research papers, or any applications you've developed that demonstrate your expertise.
Highlight Continuous Learning:Mention any recent courses, certifications, or workshops related to AI and LLMs. This shows your commitment to staying updated with the latest advancements in the field, which is crucial for a role in a cutting-edge startup.
How to prepare for a job interview at ViVA Tech Talent
✨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 will show your passion for the field and your commitment to staying ahead of the curve.
✨Prepare Questions for the Team
Engage with the interviewers by asking insightful questions about their projects and goals. This not only shows your interest in the role but also helps you assess if the startup's vision aligns with your career aspirations.
