caire.se
Full-Stack Developer (Next.js/TypeScript)
Build the AI Operating System for Home Care
Location: Stockholm | Employment: Full-time / Contractor
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Short version
Full-Stack Developer (Next.js/TypeScript)
Build the AI OS transforming home care
You will:
  • Build Level 2 → Level 3 AI scheduling systems
  • Scale solver workloads & data models
  • Deliver sharp Bryntum UX with real-time intelligence
You have:
  • Strong Next.js/React, TS, PostgreSQL
  • Strong Math & AI/ML background
  • Solid API/backend skills
  • Care about performance, correctness & impact
Why Caire?
Pilot version live, solving a trillion-dollar global problem with AI. Short feedback loops, modern stack, real societal impact.
About Caire
Building Self-Driving Operations for Home Care
Caire is building self-driving operations for home care. Our AI-powered platform is already running in live pilots with multiple home-care providers, delivering clear improvements in efficiency, reduced travel time, and better continuity. Our SaaS platform gives providers smart resource planning, real-time optimization, and decision support.
Caire is now evolving from Level 2 AI-Assisted Planning (live today) to Level 3 Self-Driving Scheduling and ultimately Level 4 Predictive Autonomous Operations.
You will help build the platform that gets us there.
Why this role matters
Home care is one of the last trillion-dollar industries not yet automated by AI scheduling. Caire is uniquely positioned to lead this transformation — and engineering is the core of the company.
As a Full-Stack Developer, you will:
  • Build the AI OS of home care used by frontline caregivers and schedulers.
  • Work directly with the founder on architecture, performance, and new product capabilities.
  • Build real production systems that influence the daily lives of thousands of caregivers and vulnerable people.
  • Shape the technical foundation for our expansion across the Nordics and Europe.
What you'll do
Core responsibilities
  • Build and evolve our multi-tenant Level 2 → Level 3 scheduling & optimization platform.
  • Implement domain logic for staff, visits, vehicles, time windows, competencies, continuity scoring, and routing.
  • Build robust APIs and integrations (Carefox, Alfa eCare/Welfare, etc.).
  • Develop rich Bryntum SchedulerPro experiences with KPIs, utilization patterns, continuity insights, and live re-optimization.
  • Scale optimization workloads and the data model for hundreds of caregivers and thousands of daily visits per provider.
  • Instrument metrics, logs, and observability for solver performance, drift detection, and operational guardrails.
  • Ensure compliance with GDPR and high-security municipal-grade standards.
Advanced responsibilities (optional but welcome)
  • Contribute to new AI capabilities including vector matching, predictive models, and drift detection.
  • Implement parts of the Scenario Simulation Studio (what-if planning, continuity replay, staffing forecasts).
  • Work with hybrid solver stacks (Timefold + OR-Tools) for Level 3 real-time re-optimization.
Example: Your first 90 days
Ship an upgraded Bryntum + Next.js scheduling interface with live KPIs and continuity insights.
Improve performance of large-scale data loading (200+ employees, 2,000+ visits/day).
Build Pre-Planning UI components for weekly and monthly structures.
Implement improved API endpoints for long-term plans, solver results, and drift detection.
Add monitoring to track solver KPIs: latency, assignment rates, continuity scores, travel reduction.
Work with the founder to shape the Level 3 roadmap (real-time autonomous scheduling).
Tech Stack
Backend & Frontend
  • Backend/Runtime: Node.js, Next.js (App Router, RSC), TypeScript
  • Frontend: React, Tailwind, shadcn/ui, Radix UI, React Hook Form
  • Data: PostgreSQL, Drizzle ORM
  • Auth / Multi-tenancy: Clerk
Infrastructure & Quality
  • Infrastructure: AWS (RDS, Kinesis, Lambda, EventBridge)
  • Quality: Jest, Playwright, Testing Library, ESLint
  • CI/CD: GitHub Actions
AI & Optimization
  • AI & Optimization: Timefold.ai, Google OR-Tools, solver guardrails
Technical challenges you'll enjoy
Building Level 3 Self-Driving Scheduling
with real-time partial re-solving
Multi-tenancy
with strict isolation
Handling large datasets
with low latency
Solving optimization problems
with many constraints (continuity, routing, skills, labor law)
Semantic caregiver–caretaker matching
using vector embeddings
Pre-Planning engine
(weekly/monthly structures)
OCR → rules extraction
→ auto-optimized plans
GDPR-grade logging
and audit trail design
Requirements
Must-haves
  • Deep experience with Next.js/React and TypeScript
  • Strong PostgreSQL + ORM experience (Drizzle preferred)
  • Experience building APIs and complex backend logic
  • Solid understanding of state management, hooks, and modern React patterns
  • Comfortable with CI/CD, GitHub workflows, and testing
  • Actively use AI-assisted development tools (Cursor, Copilot, CodeGuide, etc.)
  • Curious about data modeling, performance, and clean architecture
Nice-to-haves
  • Timefold, OR-Tools, or any constraint-solving knowledge
  • Bryntum or other scheduling/Rostering UI experience
  • Experience with AWS event-driven architecture
  • Knowledge in healthtech, logistics, or scheduling/optimization
  • Familiarity with GDPR and EU public-sector security standards
  • Swedish and English (written & spoken)
What we offer
  • A chance to build Level 3 self-driving scheduling for an entire industry
  • Real-world impact on caregivers and vulnerable people
  • Work directly with the founder — fast iteration, no bureaucracy
  • Modern stack and ambitious roadmap
  • Flexible work style and a meaningful long-term mission
  • Opportunity to shape a product used nationally across Sweden and soon the Nordics
Caire – AI-Driven Operations for Home Care 📍 Stockholm • 💼 Full-time / Contractor