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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 with AI.
- Benefits: Enjoy full-time remote work and strong backing in a greenfield project.
- Why this job: Be a founding member of the AI team, shaping impactful products with real-world applications.
- 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 showcasing your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the HealthTech and AI fields. Engaging with communities on platforms like LinkedIn or attending relevant meetups can help you gain insights into the industry and potentially connect you with someone 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 and ability to work in a fast-paced environment.
✨Tip Number 4
Show your passion for improving healthcare through technology. Research current trends in HealthTech and be prepared to discuss how your skills can contribute to enhancing care delivery for older adults, aligning with the company's mission.
We think you need these skills to ace Staff AI Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Staff AI Engineer position. Familiarise yourself with concepts like LLMs, symbolic AI, and the specific technologies mentioned in the job description.
Tailor Your CV: Customise your CV to highlight relevant experience, particularly in AI product development, model deployment, and working in start-up or scale-up environments. Use keywords from the job description to ensure your CV aligns with what they are looking for.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for HealthTech and your understanding of how AI can improve care for older adults. Mention specific projects or experiences that demonstrate your ability to design and ship AI-powered features.
Highlight Collaboration Skills: Since the role involves close collaboration with engineers, PMs, and end users, emphasise your teamwork and communication skills in your application. Provide examples of how you've successfully worked in cross-functional teams in the past.
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 specific technologies mentioned in the job description, such as SageMaker and PyTorch. Highlight any relevant projects where you've designed and deployed AI models.
✨Demonstrate Collaboration Experience
Since the role involves working closely with engineers, PMs, and end users, share examples of how you've successfully collaborated in past projects. Emphasise your ability to iterate quickly based on feedback and work within a team.
✨Understand the HealthTech Landscape
Familiarise yourself with the challenges and opportunities in the HealthTech sector, especially regarding care for older adults. Showing that you understand the impact of AI in this field can set you apart from other candidates.
✨Prepare Questions for the Interviewers
Think of insightful questions to ask about the company's vision, the AI team's goals, and how they measure success. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
