About the role
Join our core engineering team building AI systems for providers. You’ll ship production features end-to-end: design, implement, evaluate, and iterate - owning real outcomes for clinicians, ops teams, and patients.

What you’ll do

• Design and build services for data ingestion, normalization, and privacy-preserving model training/inference.
• Develop retrieval/RAG pipelines, evaluation harnesses, and safety/guardrail layers.
• Ship APIs, CLIs, and internal tools; instrument with tracing, metrics, and alerting.
• Collaborate with clinicians/ops to translate messy requirements into reliable software.
• Maintain security, compliance, and quality (HIPAA/GDPR, SOC2-ready practices).

What you’ll bring

• 4+ years building production systems (or equivalent impact).
• Experience with one or more: LLMs, information retrieval, NLP, data platforms, or distributed systems.
• Pragmatic engineering: tests, CI/CD, observability, performance tuning, cost awareness.
• Comfort with cloud infra (AWS/GCP), containers, and relational/NoSQL databases.
• Bias to ship, learn from data, and raise the bar for code quality and security.

Nice to have

• Healthcare data (FHIR/HL7/X12), RCM, EHR integrations, PHI handling.
• Vector databases, embeddings, prompt/finetune workflows, offline evaluation.

Location

Office based in Stockholm or remote in EU/UK time zones.