At a Glance
- Tasks: Integrate AI into our platform and automate SaaS tool interactions using LLMs.
- Company: SEEKR, a forward-thinking company focused on innovative AI solutions.
- Benefits: Up to £100,000 salary, supportive environment, and opportunities for innovation.
- Other info: Dynamic role with a focus on experimentation and growth.
- Why this job: Join us to shape the future of enterprise workflows with cutting-edge AI technology.
- Qualifications: Experience with LLMs, TypeScript, and Python required.
The predicted salary is between 100000 - 100000 £ per year.
SEEKR is hiring for a role focused on integrating AI into their platform. You'll be automating interactions between SaaS tools using LLMs and developing tools that enable intelligent enterprise integrations. The position requires experience with LLMs in production, TypeScript, and Python. The base salary is up to £100,000, and you will be empowered to innovate and experiment in a supportive environment.
AI Engineer — LLM Orchestration for Enterprise Workflows employer: SEEKR
Contact Detail:
SEEKR Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer — LLM Orchestration for Enterprise Workflows
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech space, especially those who work with LLMs. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with TypeScript and Python, especially any LLM integrations. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on common AI engineering questions and scenarios. We recommend practising coding challenges and discussing your past experiences with LLMs to impress the hiring team.
✨Tip Number 4
Don’t forget to apply through our website! It’s 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 AI Engineer — LLM Orchestration for Enterprise Workflows
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with LLMs, TypeScript, and Python in your application. We want to see how you've used these skills in real-world scenarios, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We love seeing how you connect your past experiences to the job description, especially when it comes to automating interactions between SaaS tools.
Be Yourself: We’re all about innovation and creativity here at StudySmarter. Don’t be afraid to let your personality shine through in your application. Share your passion for AI and how you envision contributing to our team!
Apply Through Our Website: For the best chance of getting noticed, make sure to apply directly through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at SEEKR
✨Know Your LLMs
Make sure you brush up on your knowledge of large language models (LLMs) and their applications in enterprise workflows. Be ready to discuss specific projects where you've implemented LLMs, as well as the challenges you faced and how you overcame them.
✨Showcase Your Coding Skills
Since the role requires proficiency in TypeScript and Python, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges beforehand and be ready to explain your thought process clearly.
✨Understand SaaS Integrations
Familiarise yourself with common SaaS tools and how they can be integrated using AI. Be prepared to discuss how you would automate interactions between these tools and provide examples of past experiences where you've successfully done this.
✨Emphasise Innovation and Experimentation
This position encourages innovation, so come armed with ideas! Think about how you could improve existing processes or introduce new features using AI. Share your thoughts during the interview to show that you're proactive and eager to contribute.