At a Glance
- Tasks: Design and deploy intelligent systems using AI technologies in a fully remote role.
- Company: Leading tech company focused on innovation and cutting-edge solutions.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Why this job: Join a team creating impactful AI-driven applications and own features from UI to deployment.
- Qualifications: Over 2 years of experience in AI/ML and strong skills in React and Python.
- Other info: Exciting opportunity to work on the forefront of AI technology.
The predicted salary is between 36000 - 60000 Β£ per year.
A leading technology company is seeking a full-stack developer with expertise in AI to design and deploy intelligent systems. This fully remote position requires strong skills in frontend and backend technologies, including React and Python. You will own features from UI to model deployment, working on cutting-edge AI-driven applications. Ideal candidates should have over 2 years of experience in AI/ML systems and be familiar with prompt engineering techniques. Apply now with your CV.
Remote AI Engineer - Full-Stack & LLM Innovation employer: Accelero
Contact Detail:
Accelero Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Remote AI Engineer - Full-Stack & LLM Innovation
β¨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community on LinkedIn or relevant forums. You never know who might have the inside scoop on job openings or can refer you directly.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI/ML systems. This is your chance to demonstrate your expertise in React and Python, so make it shine!
β¨Tip Number 3
Prepare for interviews by brushing up on common AI and full-stack development questions. Practice explaining your past projects and how you tackled challenges, especially around prompt engineering techniques.
β¨Tip Number 4
Donβt forget to apply through our website! Itβs the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Remote AI Engineer - Full-Stack & LLM Innovation
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your experience with AI and full-stack development. We want to see how your skills in React and Python shine through, so donβt hold back on showcasing relevant projects!
Showcase Your Projects: Include specific examples of AI-driven applications you've worked on. We love seeing real-world applications of your skills, especially if youβve tackled model deployment or prompt engineering!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless itβs necessary. Let us see your personality while keeping it professional!
Apply Through Our Website: Donβt forget to apply directly through our website! Itβs the best way for us to receive your application and ensures youβre considered for this exciting opportunity.
How to prepare for a job interview at Accelero
β¨Know Your Tech Stack
Make sure youβre well-versed in both frontend and backend technologies, especially React and Python. Brush up on your knowledge of AI/ML systems and be ready to discuss how you've used these technologies in past projects.
β¨Showcase Your Projects
Prepare to talk about specific projects where youβve designed and deployed intelligent systems. Highlight your role in the development process, focusing on any features you owned from UI to model deployment.
β¨Understand Prompt Engineering
Since prompt engineering is a key part of this role, make sure you can explain what it is and how youβve applied it in your work. Be ready to discuss examples where your prompt engineering skills led to successful outcomes.
β¨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the companyβs AI initiatives and the teamβs approach to innovation. This shows your genuine interest and helps you assess if the company is the right fit for you.