Sana’s vision is to make healthcare easy, aiming to create a seamless experience for members accessing the healthcare system.
The company is looking for a Senior Software Engineer to lead the architecture, development, and deployment of production-grade AI systems across the business.
The role involves working closely with data science, product, engineering, and operations teams to design workflows that enhance the experience of members and internal users.
Responsibilities include architecting and implementing scalable AI systems for core business functions such as claims processing, underwriting, and customer support.
The engineer will lead end-to-end ML pipelines, from data ingestion to model training to inference in production.
Collaboration with product managers and stakeholders to identify high-leverage AI use cases is essential.
The engineer will translate ambiguous problems into well-defined projects with measurable outcomes.
Ensuring explainability, fairness, and regulatory compliance in AI applications is a key responsibility.
The role requires partnering with data engineering to improve data infrastructure for training and inference.
Contributing to a culture of engineering excellence, knowledge sharing, and experimentation is expected.
Requirements:
Candidates must have 3+ years of backend or full-stack software engineering experience, with at least 1 year leading AI/ML systems in production.
Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or HuggingFace is required.
A deep understanding of ML fundamentals, LLM fine-tuning/inference, and MLOps best practices is necessary.
Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, K8s) is essential.
Strong communication skills and the ability to work cross-functionally in a fast-paced environment are required.
Bonus points for candidates with experience in healthtech, insurtech, claims data, or eligibility rules.
Candidates should be eager to join a high-powered startup.
Benefits:
The position offers a cash compensation amount targeted at $190,000 - $210,000 base salary plus equity per year for all US-based remote locations.
Final offer amounts are determined by multiple factors including candidate experience and expertise, and may vary from the amounts listed.
Employees will be part of a modern health plan solution for small and medium businesses, contributing to fixing the broken healthcare system.
The company has the financial backing of Silicon Valley venture firms and innovative reinsurance partners, providing a stable work environment.
