Contract AI Engineer: Paid MVP Sprint, with a path to full-time
Stealth HealthTech | London / Remote
We're an early-stage healthtech company building a portfolio of AI products in aesthetic medicine, working alongside surgeons, clinicians and researchers.
We're looking for an engineer to take our first product from prototype to a working MVP.
- Start with a paid 2-4 week sprint, with the opportunity to move into a full-time founding engineering role as the company grows
- Work alongside top-tier talent: leading plastic surgeons, clinicians and researchers
- Shape a product from day one, with real influence over how it’s built
- Gain rare experience at the intersection of AI, healthtech and aesthetic medicine
What you'll do in the first phase
- Develop a prototype, and then develop into a working MVP
- Build a structured conversational flow that moves someone from an inquiry to a clear, answerable question, grounded in a curated clinical knowledge base (RAG)
- Build guardrails and escalation: knowing when to refer to a clinician, and generating a handoff summary a clinician can actually use
- Set up evaluation for clinical accuracy, not just fluency
- Design privacy-first data foundations (UK GDPR) and safeguarding against reinforcing appearance anxiety
What you'll bring
- Degree in Computer Science, Biomedical Engineering, Software Engineering or a related field, or equivalent practical experience
- 2+ years' experience, or a recent graduate with a product you've actually shipped
- Built and shipped LLM apps: RAG, prompting and evaluation
- Face landmarking or computer vision, digital health / MedTech, or experience designing for user wellbeing
- Computer vision on medical images: detection and segmentation (e.g. YOLO, nnU-Net), small-data training with transfer learning, and calibrated uncertainty
- Real-time computer vision on video under tight latency budgets
- AR/XR engineering: 3D reconstruction, registration, stereo vision or SLAM
The engagement
- Strong performance in the sprint leads to a conversation about a full-time role
- Details shared under NDA
- Compensation on milestone basis
#HealthTech #DigitalHealth #AI #LLM #ConversationalAI #Contract #London #UCL #Hiring
#J-18808-Ljbffr
