At a Glance
- Tasks: Develop next-gen AI systems using modern technologies like LLMs and RAG pipelines.
- Company: Join SplendIT, a leader in innovation and emerging engineering.
- Benefits: Fully remote work with long-term B2B cooperation and competitive compensation.
- Other info: Dynamic team environment with opportunities for growth and innovation.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: 4+ years in Python engineering and experience with cloud platforms like Azure or AWS.
The predicted salary is between 60000 - 84000 £ per year.
SplendIT is seeking an experienced AI Engineer to join their Innovation & Emerging Engineering team focused on developing next-generation agentic AI systems. This role offers the chance to work hands-on with modern AI technologies, including LLMs and RAG pipelines, delivering production-grade AI solutions across various domains.
The ideal candidate will have over 4 years of experience in Python engineering, with skills in agentic workflows and cloud platforms such as Azure or AWS. This position is fully remote, with long-term B2B cooperation.
Remote AI Engineer — Agentic LLM & RAG Systems in London employer: SplendIT
SplendIT is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for AI Engineers to thrive. With a fully remote work environment, employees enjoy the flexibility to balance their professional and personal lives while working on cutting-edge technologies. The company prioritises employee growth through continuous learning opportunities and encourages team members to push the boundaries of AI development in a supportive atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Remote AI Engineer — Agentic LLM & RAG Systems in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space on LinkedIn or join relevant online communities. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and RAG systems. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and practical coding challenges. We recommend doing mock interviews with friends or using platforms that offer practice scenarios.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Remote AI Engineer — Agentic LLM & RAG Systems in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and any relevant AI technologies. We want to see how your skills align with the role, so don’t be shy about showcasing your agentic workflows and cloud platform expertise!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our Innovation & Emerging Engineering team. Keep it engaging and personal!
Showcase Your Projects:If you've worked on any cool AI projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve LLMs or RAG systems. Include links or descriptions that highlight your contributions.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at SplendIT
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest AI technologies, especially LLMs and RAG systems. Brush up on your Python skills and be ready to discuss how you've applied them in real-world projects. The more specific examples you can provide, the better!
✨Showcase Your Cloud Experience
Since the role involves working with cloud platforms like Azure or AWS, be prepared to talk about your experience with these tools. Highlight any projects where you’ve implemented solutions on these platforms, and don’t forget to mention any challenges you faced and how you overcame them.
✨Demonstrate Problem-Solving Skills
AI engineering is all about solving complex problems. Be ready to tackle hypothetical scenarios during the interview. Think out loud as you work through your thought process; this will show your analytical skills and how you approach challenges.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare some thoughtful questions about SplendIT’s projects, team dynamics, and future goals. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.
