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- Tasks: Design and implement LLM-powered systems and workflows in a dynamic startup.
- Company: Exciting London-based startup with a focus on AI innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Influence the company's direction while working on cutting-edge AI projects.
- Qualifications: 5+ years in software engineering and experience in applied AI.
- Other info: Collaborative environment with a focus on innovation and flexibility.
The predicted salary is between 60000 - 84000 £ per year.
A dynamic startup in London is seeking an Applied AI Engineer to design and implement LLM-powered systems and workflows. This role offers a unique opportunity to influence the company's direction while collaborating closely with product teams. Ideal candidates have over 5 years in software engineering and experience in applied AI. This position allows for a hybrid work model, combining office presence in Shoreditch with flexibility for remote work.
Hybrid AI Engineer — LLMs, Retrieval & Automation in London employer: Techmunity
Contact Detail:
Techmunity Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid AI Engineer — LLMs, Retrieval & Automation in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI and tech space, especially those who work at startups. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to LLMs and automation. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss how you've tackled challenges in your previous roles.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our team. It shows initiative and enthusiasm, which we really value.
We think you need these skills to ace Hybrid AI Engineer — LLMs, Retrieval & Automation in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software engineering and applied AI. We want to see how your skills align with the role of an Applied AI Engineer, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about working with LLMs and how you can contribute to our dynamic team. Let us know what makes you tick and why you’re a great fit for StudySmarter.
Showcase Your Projects: If you've worked on any LLM-powered systems or automation projects, make sure to include them in your application. We love seeing real-world examples of your work, so don’t hold back on sharing your achievements!
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Techmunity
✨Know Your LLMs
Make sure you brush up on your knowledge of large language models (LLMs) before the interview. Be ready to discuss how you've implemented them in past projects and how they can be applied to solve real-world problems. This shows your expertise and passion for the field.
✨Showcase Your Software Engineering Skills
With over 5 years in software engineering, it's crucial to highlight specific projects where you've made a significant impact. Prepare examples that demonstrate your coding skills, problem-solving abilities, and how you've collaborated with product teams to deliver successful outcomes.
✨Emphasise Collaboration
Since this role involves working closely with product teams, be prepared to discuss your experience in collaborative environments. Share examples of how you've effectively communicated and worked with cross-functional teams to achieve project goals, showcasing your teamwork skills.
✨Be Ready for Hybrid Work Questions
As the position allows for a hybrid work model, think about how you manage your time and productivity when working remotely. Be ready to discuss your strategies for staying connected with the team and ensuring that projects stay on track, demonstrating your adaptability and self-motivation.