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 - 80000 £ 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 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
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field and let them know you're on the lookout for opportunities. You never know who might have a lead on a remote AI Engineer role that fits your skills.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and RAG systems. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and scenarios. Practice explaining your experience with Python and cloud platforms like Azure or AWS, as these are key for the role.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your expertise. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Remote AI Engineer — Agentic LLM & RAG Systems
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 work with LLMs and RAG systems!
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. Let us know what excites you about working with agentic AI systems.
Showcase Your Projects:If you've worked on any cool projects related to AI or cloud platforms like Azure or AWS, make sure to mention them! We love seeing real-world applications of your skills, so include links or descriptions of your work.
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 don’t miss out on any important updates from our team. Plus, we can’t wait to hear from you!
How to prepare for a job interview at SplendIT
✨Know Your AI Stuff
Make sure you brush up on your knowledge of agentic AI systems, LLMs, and RAG pipelines. Be ready to discuss specific projects you've worked on that involved these technologies, as well as any challenges you faced and how you overcame them.
✨Show Off Your Python Skills
Since the role requires over 4 years of experience in Python engineering, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common algorithms and data structures beforehand.
✨Cloud Platforms Are Key
Familiarise yourself with Azure and AWS, as these are crucial for the position. Be prepared to talk about your experience with cloud services, including any specific tools or frameworks you've used to deploy AI solutions.
✨Remote Work Readiness
As this is a fully remote position, highlight your experience working in distributed teams. Discuss how you manage your time, communicate effectively, and stay productive while working from home.
