Senior Backend & AI Engineer (all identities)
Caspar Health · Germany
Software Engineering
Remote
physician
Demand75
Career growth70
Healthcare fit30
Remote potential65
Salary band
EUR 78k – 88k
5-year outlook
Senior backend and AI engineering skills remain valuable in German digital health, and the posted €78,000–€88,000 gross range is transparent for a senior role. Growth will depend on deepening production LLM and platform-engineering expertise.
Clinical license
Not required
Applicant reach
narrow
Seniority
senior
Employment type
full-time
Date found
2026-10-25
Intelligence details
Flexible work details
- Engagement type
- Permanent
- Hours
- Full-time
- Profession fit
- physician
- Rate period
- Annual
Listing via Himalayas.
Eligibility, licensing, and location restrictions can change. Always confirm details on the source posting before applying.
Why this is worth applying to
Worth applying only if you are a clinician with strong production Ruby on Rails and LLM engineering experience. For most clinicians without a software engineering background, this is not a realistic transition role.
Who should apply
Clinician-engineers or CS-trained doctors, nurses, pharmacists, or allied health professionals with senior Ruby on Rails, API design, system architecture, and LLM workflow experience. Also relevant for health-tech backend engineers seeking a purpose-driven digital health role.
CV angle
Lead with real production software engineering experience: Ruby on Rails services, API and data-model design, background jobs, automated testing, authorization/billing workflows, LLM applications, evaluation pipelines, and end-to-end ownership. Frame any clinical or healthcare domain knowledge as a bonus for product collaboration, not as a substitute for senior backend engineering evidence.
Skills to highlight
- Ruby on Rails
- API design
- system architecture
- LLM applications and agent workflows
- automated testing
- background job processing
- authorization and billing workflows
- technical communication
Role summary
A senior backend and AI engineering role at a digital health company, focused on Ruby on Rails services, clean APIs, LLM-based agent workflows, evaluation pipelines, and end-to-end technical ownership within a small agile squad.
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