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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 impact with AI.
- Benefits: Enjoy full-time remote work and be part of a pioneering AI team.
- Why this job: Be a founding member in a high-impact role with strong product exposure.
- Qualifications: Minimum 5 years experience in AI, preferably in start-up environments.
- Other info: Work closely with a tight-knit team and iterate quickly on real-world problems.
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 and expectations, which can help you tailor your approach.
✨Tip Number 3
Prepare to discuss real-world applications of AI in healthcare during interviews. Think about how you can leverage your experience to improve care delivery for older adults, as this is a key focus for the role.
✨Tip Number 4
Showcase your ability to work in a fast-paced, product-led environment. Be ready to share examples of how you've iterated quickly on projects and collaborated with cross-functional teams to deliver impactful results.
We think you need these skills to ace Staff AI Engineer
Some tips for your application 🫡
Understand the Role: Take time to thoroughly read the job description for the Staff AI Engineer position. Understand the key responsibilities and required skills, especially around LLMs, symbolic AI, and model deployment.
Tailor Your CV: Customise your CV to highlight relevant experience in AI engineering, particularly in health tech or similar fields. Emphasise your hands-on experience with technologies mentioned in the job description, such as SageMaker and PyTorch.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and its application in healthcare. Mention specific projects where you've successfully deployed AI solutions and how they align with the company's mission to improve care for older adults.
Highlight Collaboration Skills: Since the role involves working closely with engineers, PMs, and end users, make sure to include examples of past collaborative projects. Demonstrating your ability to work in a team-oriented environment will strengthen your application.
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 services through AI, showing that you’re aligned with their mission.
✨Prepare Questions About the Role
Have insightful questions ready about the team dynamics, the challenges they face, and how success is measured in this role. This shows your genuine interest and helps you assess if the company is the right fit for you.
