At a Glance
- Tasks: Fine-tune LLMs and build advanced AI solutions in a dynamic team.
- Company: Join a leading AI Engineering division in London.
- Benefits: Competitive salary, flexible working hours, and opportunities for growth.
- Other info: Collaborative environment with a focus on cutting-edge technology.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: 3+ years in NLP, experience with PyTorch and model deployment.
The predicted salary is between 60000 - 80000 £ per year.
About the Role
Join our AI Engineering division in London to specialize in LLM fine-tuning, retrieval-augmented generation (RAG), and hosting private models. You will be responsible for tailoring deep learning models to specialized domain tasks.
Key Responsibilities
- Fine-tune open-source models (Llama, Mistral, Qwen) for specific domain functions
- Optimize model deployment pipelines for low latency and high throughput
- Build advanced context management and semantic search solutions
- Implement prompt evaluation frameworks and guardrail architectures
Requirements
- 3+ years of experience focusing on Natural Language Processing and Generative AI
- Hands-on experience with PyTorch, Hugging Face Transformers, and parameter-efficient fine-tuning (PEFT/LoRA)
- Experience deploying models with vLLM, Ollama, or Triton Inference Server
- Strong background in software engineering best practices and clean code
LLM & Generative AI Engineer employer: GenixBit Labs Pvt. Ltd.
Join a forward-thinking company in London that prioritises innovation and employee development, making it an excellent employer for LLM & Generative AI Engineers. With a collaborative work culture, opportunities for professional growth, and a commitment to cutting-edge technology, you will thrive in an environment that values your expertise and contributions. Enjoy competitive benefits and the chance to work on impactful projects that shape the future of AI.
StudySmarter Expert Advice🤫
We think this is how you could land LLM & Generative AI Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at GenixBit Labs Pvt. Ltd. or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to GenixBit Labs Pvt. Ltd..
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like GenixBit Labs Pvt. Ltd..
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like GenixBit Labs Pvt. Ltd. that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace LLM & Generative AI Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at GenixBit Labs Pvt. Ltd..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at GenixBit Labs Pvt. Ltd. and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at GenixBit Labs Pvt. Ltd.
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If GenixBit Labs Pvt. Ltd. uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
