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Salt Search
London, United Kingdom
2 weeks ago
£100,000 pa
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Salary

£100,000 pa

Job Type
Permanent
Work Location
Hybrid
Seniority
Mid
Education
Degree
Posted
1 Jun 2026 (2 weeks ago)

Benefits

25 days holiday Private healthcare £20k equity Flexible remote working (2-3 weeks/year from anywhere)

Hiring: AI Engineer (LLMs | Product-Focused | London, Paddington)

I'm partnering with a fast-growing, heavily funded startup that's redefining how care providers operate through AI. Backed by $20M in Series A funding and scaling quickly, they're building anAI-powered platform used across healthcare environments to replace fragmented systems and manual processes.

This is a unique opportunity to join early, working directly with the Head of AI to take ownership of engineering and help shape the future of the AI function.

What you'll be working on
You'll play a key role across two core product areas:

  • Aday-to-day operating hub that helps professionals make better, faster decisions
  • Aresearch-focused platform, leveraging labs, imaging, and structured/unstructured medical data to drive insights

Example challenges include:

  • Building AI agents tohandle calls and schedule appointments
  • Creating systems togenerate and structure clinical notes from free text
  • Using LLMs toreliably extract and standardise complex data
  • Contributing to AI-powered features integrated directly into core workflows

What they're looking for

This is anengineering-led AI role, not ML research:

~5+ years in software engineering
2+ years hands-on withLLMs / applied AI
Experience building01 products in startup environments
Strong backend focus (Python + TypeScript)
Experience with frameworks likeLangChain
Comfortable owning systems end-to-end (design build deploy)

Bonus if you've touched frontend or worked closely with product teams.

Package & benefits

  • £100k + £20k equity
  • Hybrid:4 days/week in Paddington
  • 25 days holiday + private healthcare
  • Equity for all employees + strong benefits package
  • Flexible remote working (2-3 weeks/year from anywhere)

Process (fast & focused)

  1. AI knowledge discussion
  2. Coding interview
  3. AI design challenge (real problem)
  4. Final with CTO

*Rates depend on experience and client requirements

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