Alaffia Health

HQ
New York
80 Total Employees
25 Product + Tech Employees
Year Founded: 2020

Alaffia Health Offices

Alaffia Health is headquartered in New York.

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

We have a recognize the varying needs of our employees and have designed a location-based policy, offering flexibility while ensuring that the hybrid work model supports both individual and company success.

Typical time on-site: 3 days a week

U.S. Office Locations

HQ
New York

New York City (SoHo) HQ

New York, NY, United States, 10013

4 Days AgoSaved
Hybrid
New York, NY, USA
Artificial Intelligence • Healthtech • Insurance • Machine Learning • Payments
Build and operate MLOps infrastructure for production AI agents, including evaluation frameworks, CI/CD quality gates, model access across cloud providers, experiment tracking, observability, versioned deployments, and cost optimization. Develop and fine-tune LLMs and machine learning models, monitor production quality and drift, and collaborate with AI engineers and clinical experts to deliver reliable healthcare claims automation.
5 Days AgoSaved
Hybrid
New York, NY, USA
Artificial Intelligence • Healthtech • Insurance • Machine Learning • Payments
Own full-cycle recruiting for AI/ML, security, infrastructure, and technical product roles. Manage 4–6 requisitions, source passive candidates, build talent pipelines, partner with hiring managers, coordinate interviews, manage feedback, close offers, maintain ATS records, and report on pipeline progress. The role requires fast, high-quality hiring in a high-growth healthtech startup, with emphasis on specialized technical talent and a strong candidate experience.
11 Days AgoSaved
Hybrid
New York, NY, USA
Artificial Intelligence • Healthtech • Insurance • Machine Learning • Payments
Staff Backend Engineer responsible for architecting complex backend systems, setting engineering standards, developing data-intensive applications, and scaling GenAI products. The role leads technical roadmaps, cloud infrastructure, testing, observability, and AI coding-tool adoption while mentoring engineers and partnering across engineering, product, and business teams.