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- Tasks: Design and deploy AI features to enhance healthcare for older adults.
- Company: Join a remote-first HealthTech company making a real difference in care delivery.
- Benefits: Enjoy full-time remote work, strong backing, and exposure to cutting-edge AI technologies.
- Why this job: Be a founding member of the AI team, impacting millions with innovative solutions.
- Qualifications: Minimum 5 years experience in AI, preferably in start-up or scale-up environments.
- Other info: Collaborate closely with a tight-knit team and iterate quickly in a product-led setting.
The predicted salary is between 48000 - 84000 £ per year.
We are looking for a founding Staff AI Engineer role with a remote-first HealthTech company building AI products that actually make a difference. Think: applied LLMs and symbolic AI to improve how care is delivered to older adults across millions of monthly visits. This is a high-priority, greenfield hire with strong backing, real product traction, and one of Europe’s largest structured healthcare datasets.
What makes this stand out:
- Founding AI team member, reporting directly to the Head of AI
- Hands-on from design to deployment, including infra and validation
- Strong product exposure, weekly feedback loops with care partners
- Stack includes SageMaker, Vertex, OpenAI APIs, PyTorch
- Full-time, remote-first (UK/CET)
Your Responsibilities:
- Designing and shipping AI-powered product features using LLMs and symbolic AI
- Building out scalable infrastructure for model deployment and evaluation
- Collaborating closely with engineers, PMs, and end users to iterate fast
- Integrating models with the platform through well-designed APIs
- Validating performance with real-world workflows and production data
- Contributing to a lean, high-trust MVP team
Team so far:
You would be joining a tight-knit squad with a Principal PM and Full Stack Engineer, working closely with product, design, and end users. They want someone comfortable owning full-stack AI problems, deploying models into production, and iterating quickly in a product-led environment. Ideally, someone with a minimum of 5 years of experience would be suitable for this position (Start-up/Scale-up environments would be preferred).
If you feel you would be a good fit for this position, feel free to send your updated resume/CV!
Staff AI Engineer employer: DeepRec.ai
Contact Detail:
DeepRec.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff AI Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as SageMaker, Vertex, and PyTorch. Having hands-on experience or projects that showcase your skills with these tools will make you stand out.
✨Tip Number 2
Network with professionals in the HealthTech and AI fields. Attend relevant meetups or webinars to connect with people who might have insights into the company culture or the team dynamics at StudySmarter.
✨Tip Number 3
Prepare to discuss your experience in deploying models into production and how you've iterated on AI products in previous roles. Be ready to share specific examples that demonstrate your problem-solving skills in a product-led environment.
✨Tip Number 4
Research the company's mission and values, especially their focus on improving care for older adults. Tailor your conversations to reflect your passion for making a difference in this area, which will resonate well with the hiring team.
We think you need these skills to ace Staff AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI, particularly with LLMs and symbolic AI. Emphasise any previous roles where you designed and deployed AI products, especially in HealthTech or similar fields.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and its application in healthcare. Mention specific projects you've worked on that align with the company's mission to improve care for older adults.
Showcase Technical Skills: In your application, clearly outline your technical skills related to the stack mentioned, such as SageMaker, Vertex, OpenAI APIs, and PyTorch. Provide examples of how you've used these technologies in past projects.
Highlight Collaboration Experience: Since the role involves working closely with engineers, PMs, and end users, include examples of successful collaborations in your application. Describe how you’ve iterated on products based on feedback from various stakeholders.
How to prepare for a job interview at DeepRec.ai
✨Showcase Your Technical Skills
Be prepared to discuss your experience with LLMs, symbolic AI, and the tech stack mentioned in the job description. Highlight specific projects where you've designed and deployed AI models, especially in a healthcare context.
✨Demonstrate Collaboration Experience
Since the role involves working closely with engineers, PMs, and end users, share examples of how you've successfully collaborated in cross-functional teams. Emphasise your ability to iterate quickly based on feedback.
✨Understand the Product and Its Impact
Research the company’s products and their impact on healthcare delivery for older adults. Be ready to discuss how you can contribute to improving these products and the importance of real-world validation.
✨Prepare Questions About the Team and Culture
As a founding member of the AI team, it's crucial to understand the team dynamics and culture. Prepare thoughtful questions about the team's structure, values, and how they approach product development in a start-up environment.
