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- Tasks: Build and scale AI agents for various industries, starting with real estate.
- Company: Innovative scale-up revolutionising Enterprise AI with a collaborative culture.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a core team shaping the future of AI and make a real impact.
- Qualifications: Experience in Python, AWS, SQL, and a passion for AI development.
- Other info: Be part of an exciting investment pitch and drive industry transformation.
The predicted salary is between 36000 - 60000 £ per year.
We\’re hiring an AI Engineer to join an innovative scale-up creating a new category of Enterprise AI. Their mission is to replace costly external agencies and large in-house data teams with AI-driven agents that deliver faster, scalable decision-making.The product is 60% complete, and you\’ll help scale it across multiple verticals, starting with real estate. The vision is to build expert AI agents tailored to each industry, powered by Retrieval-Augmented Generation (RAG).You\’ll work closely with the C-Suite team, owning end-to-end delivery from system design through deployment, and collaborating with stakeholders across the business.Responsibilities:Build and scale vertical-specific AI agentsTranslate complex enterprise data into scalable AI solutionsLead architecture, development, and deployment effortsWork collaboratively with senior leaders and external partnersInfluence product direction and mentor future hiresDetails:Hybrid role based in London, 2–3 days onsite per week.You\’ll be part of the core team featured in an upcoming investment pitch aimed at accelerating growth and expanding into multiple sectors.Job Details Seniority level: Mid-Senior levelEmployment type: Full-timeJob function: Engineering and Information TechnologyIndustries: Staffing and Recruiting
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AI Engineer employer: DeepRec.ai
Contact Detail:
DeepRec.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. The more you engage, the better your chances of landing that AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and AWS. This will give you an edge and demonstrate your ability to deliver scalable AI solutions.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and understanding the company’s mission. Be ready to discuss how you can influence product direction and collaborate with senior leaders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! We want to see how your passion aligns with our mission to innovate in the Enterprise AI space. Share any relevant projects or experiences that highlight your love for this field.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the AI Engineer role. Highlight your experience with Python, AWS, and SQL, and explain how you've tackled similar challenges in the past. This helps us see how you fit into our vision of building expert AI agents.
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon unless it's necessary. Make it easy for us to understand your skills and experiences without wading through fluff!
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 Tech Stack
Make sure you’re well-versed in Python, AWS, SQL, and Google’s ADK. Brush up on your knowledge of Retrieval-Augmented Generation (RAG) as well, since it’s a key part of the role. Being able to discuss how you've used these technologies in past projects will show that you're ready to hit the ground running.
✨Understand the Business Context
Familiarise yourself with the company’s mission to replace costly external agencies with AI-driven solutions. Think about how your skills can contribute to scaling their product across different verticals, especially real estate. This will help you align your answers with their goals during the interview.
✨Prepare for Collaborative Scenarios
Since you'll be working closely with C-Suite executives and other stakeholders, be ready to discuss your experience in collaborative environments. Prepare examples of how you've influenced product direction or mentored team members in previous roles. This will demonstrate your ability to lead and work effectively within a team.
✨Showcase Your Problem-Solving Skills
Think of specific challenges you've faced in AI development and how you overcame them. Be prepared to discuss your approach to translating complex data into scalable solutions. This will highlight your analytical thinking and ability to deliver results, which is crucial for this role.
