At a Glance
- Tasks: Design and deploy cutting-edge AI solutions for global enterprises.
- Company: Exciting Series A AI startup at the forefront of innovation.
- Benefits: Competitive salary, equity, flexible working, and generous holiday.
- Other info: Significant ownership and career growth opportunities in a dynamic environment.
- Why this job: Join a high-growth team and make a real impact in AI.
- Qualifications: Experience in building production AI systems and problem-solving skills.
The predicted salary is between 60000 - 80000 € per year.
We’re partnering with a well-funded Series A AI startup building the next generation of AI agents and Digital Workers for enterprise.
This is a chance to join a high-growth team working at the forefront of applied AI, deploying real-world systems that are already transforming how large organisations operate.
You’ll work directly with leading global enterprises to design and deploy production-grade AI solutions — from intelligent agents to fully integrated workflows.
- Design and deploy agentic AI workflows for enterprise use cases
- Build and scale systems using LLMs, RAG, and modern AI architectures
- Hands-on experience building production AI systems (LLMs, RAG, agents)
- Ability to translate complex business challenges into scalable AI solutions
- Work on high-impact, real-world AI deployments
- Significant ownership and growth opportunity
Competitive salary + equity
~25 days holiday + flexibility
~ Pension + insurance options
~ Hybrid working + work abroad flexibility
Remote AI Engineer employer: DeepRec.ai
Join a dynamic and innovative Series A AI startup in London, where you'll be at the cutting edge of applied AI technology. With a strong focus on employee growth, we offer significant ownership opportunities, competitive salaries, and a flexible hybrid working environment that allows for work abroad. Our collaborative culture fosters creativity and impact, making it an ideal place for those looking to make a meaningful contribution in the world of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Remote AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space on LinkedIn or at industry events. We can’t stress enough how personal connections can open doors to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs and RAG. We want to see what you can do, so make it easy for potential employers to see your work in action.
✨Tip Number 3
Prepare for interviews by brushing up on real-world applications of AI. We recommend practising how you’d tackle complex business challenges with scalable solutions. This will help you stand out as someone who can hit the ground running.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Remote AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the AI Engineer role. Highlight any hands-on experience you've had with LLMs, RAG, or building production-grade AI systems. We want to see how you can contribute to our mission!
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 team. Don’t forget to mention specific projects or achievements that showcase your expertise.
Showcase Your Projects:If you've worked on any relevant projects, whether in a professional setting or as personal endeavours, make sure to include them. We love seeing real-world applications of your skills, so share 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’re considered for the role. Plus, it shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at DeepRec.ai
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI, especially around LLMs and RAG. Be ready to discuss your hands-on experience with production-grade AI systems and how you've tackled complex business challenges in the past.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've designed and deployed AI solutions in real-world scenarios. Think about specific projects where you translated business needs into scalable AI workflows, and be ready to explain your thought process.
✨Understand the Company’s Vision
Research the startup's mission and the impact they aim to have in the enterprise sector. This will help you align your answers with their goals and demonstrate that you're genuinely interested in contributing to their success.
✨Ask Insightful Questions
Prepare thoughtful questions about their current projects, team dynamics, and future plans. This shows that you're not just looking for a job, but are keen to be part of their journey in transforming how organisations operate with AI.
