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- Tasks: Drive the development of next-gen LLMs and manage large-scale datasets.
- Company: Join an early-stage startup on a mission to revolutionize enterprise AI.
- Benefits: Enjoy a competitive salary, stock options, and a hybrid work environment.
- Why this job: Be at the forefront of AI innovation and collaborate with top-tier experts.
- Qualifications: 3+ years in AI/ML, expertise in Python, transformers, and deep learning frameworks.
- Other info: Interviews are starting ASAP, so don't miss out!
The predicted salary is between 44000 - 66000 £ per year.
Job Description
🚀 AI Engineer – London (Hybrid) – Up to £70,000 per annum – 3+ years in AI/ML development, Python & LLM expertise 💼
Ready to redefine the future of AI? numi is thrilled to collaborate with an early-stage startup dedicated to transforming enterprise AI.
Join us and take a pivotal role in advancing large language models (LLMs), from developing foundational models to optimizing performance and handling intricate datasets.
You'll work closely with a distinguished founding team, bringing expertise from global leaders.
🔧 What You’ll Do:
As an AI Engineer, drive the evolution of next-gen LLMs. Pre-train and fine-tune foundational models, manage large-scale datasets, and lead experiments to enhance model efficiency and scalability.
Full-Stack Development: Lead design, development, and maintenance of front-end and back-end technologies to ensure a feature-rich, user-friendly platform.
UX Design: Create and maintain responsive, intuitive web interfaces using modern front-end technologies and frameworks.
Database Management: Design, implement, and optimize database schemas and queries for efficient data storage and retrieval.
Collaboration: Partner with top researchers, data scientists, and engineers to push AI boundaries.
🎯 Who You Are:
Experienced in the full software development lifecycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
Proficient in full-stack development with JavaScript and Next.JS.
Strong background in frontend development using React and Tailwind CSS.
Skilled in managing large databases like PostgreSQL.
Familiarity with container orchestration tools such as Docker and Kubernetes.
Hands-on experience with LLM libraries like LangChain, LangGraph, LlamaIndex, or Ollama.
But most importantly, you're driven by a passion for AI innovation and thrive on solving complex challenges. 🤖
🎉 Why This Role?
This is your opportunity to shape the future of enterprise-grade LLMs with groundbreaking AI technology. Enjoy a competitive salary, stock options, and a collaborative, innovative culture where your ideas can thrive.
Apply now – interviews are starting soon! 😊
AI Engineer (Python, LLMs) employer: numi
Contact Detail:
numi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer (Python, LLMs)
✨Tip Number 1
Make sure to showcase your experience with large language models (LLMs) in your conversations. Discuss specific projects where you've pre-trained or fine-tuned models, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Familiarize yourself with the latest advancements in AI research, especially in transformers and deep learning frameworks like PyTorch or TensorFlow. Being able to discuss recent trends or breakthroughs can set you apart during interviews.
✨Tip Number 3
Highlight your collaborative skills by preparing examples of how you've worked with cross-functional teams in the past. This role emphasizes teamwork, so showing that you can effectively communicate and collaborate is crucial.
✨Tip Number 4
Express your passion for AI innovation clearly. Share your thoughts on the future of AI and how you envision contributing to the field, as this enthusiasm can resonate well with the hiring team.
We think you need these skills to ace AI Engineer (Python, LLMs)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI/ML development, particularly with Python and large language models (LLMs). Include specific projects or achievements that demonstrate your expertise in transformers, deep learning frameworks like PyTorch or TensorFlow, and any relevant tools such as HuggingFace or LangChain.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI innovation and your desire to solve complex challenges. Mention how your background aligns with the company's mission to revolutionise enterprise AI and provide examples of how you've contributed to similar projects in the past.
Showcase Relevant Projects: If you have worked on any significant projects involving LLMs or large datasets, be sure to include them in your application. Describe your role, the technologies used, and the outcomes achieved to give the hiring team insight into your capabilities.
Highlight Collaboration Skills: Since collaboration is key in this role, emphasize your experience working with researchers, data scientists, and engineers. Provide examples of successful teamwork and how you contributed to innovative solutions in previous roles.
How to prepare for a job interview at numi
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, transformers, and deep learning frameworks like PyTorch or TensorFlow. Bring examples of projects where you've successfully implemented LLMs or handled large datasets.
✨Demonstrate Your Passion for AI
Express your enthusiasm for AI innovation and solving complex challenges. Share any personal projects or research that highlight your commitment to staying at the forefront of AI advancements.
✨Prepare for Collaborative Scenarios
Since collaboration is key in this role, think of examples where you've worked effectively with researchers, data scientists, or engineers. Be ready to discuss how you approach teamwork and problem-solving.
✨Stay Updated on AI Trends
Familiarize yourself with the latest trends and advancements in AI and LLMs. Being able to discuss recent developments or breakthroughs will show your dedication and knowledge in the field.
