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Описание вакансии
Текст:
TL;DR
AI Engineer (Healthcare) (AI/ML): Building AI infrastructure and machine learning features for a healthcare revenue cycle automation platform with an accent on medical billing, claims processing, and scalable model operations. Focus on translating prototypes into production systems, choosing between deterministic ML and non-deterministic LLM approaches, and designing secure training, testing, and monitoring workflows.
Location: Hybrid in San Francisco, Menlo Park, or New York City, United States
Estimated annual base salary: $195,000–$255,000 USD
Company
Healthcare technology company building a revenue cycle automation platform to simplify billing, improve claims processing, and reduce administrative waste for medical providers.
What you will do
- Build AI features and ML use cases across the revenue cycle management platform.
- Identify opportunities where AI and ML techniques can improve business outcomes, efficiency, and cost savings.
- Scale prototypes into production-ready solutions used across the customer base.
- Automate technically complex workflows, including claim submission, claim resubmission, and workflow optimization.
- Architect AI infrastructure and structure data to support development across the product.
- Establish scalable processes for model training, testing, monitoring, and security.
Requirements
- Bachelor’s or master’s degree in computer science, computer engineering, mathematics, or a related field.
- 8+ years of experience building software at significant scale and complexity.
- 5+ years of professional AI engineering experience, preferably applying AI to real-world solutions.
- Experience building systems that leverage machine learning technologies, including NLP models.
- Ability to evaluate AI approaches and choose between deterministic ML and non-deterministic LLM solutions.
- Strong architecture, communication, customer-first, and mentoring skills.
Nice to have
- Experience with Google Cloud Platform, BigQuery, PostgreSQL, Metabase, Terraform, or Python.
Culture & Benefits
- Opportunity to work on AI solutions addressing complex healthcare billing and revenue cycle problems.
- Broad ownership of technical AI and product outcomes.
- Minimal hierarchy with a wide range of experience represented across roles.
- Total compensation may include equity and employee benefits.
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