Software Engineer

Please apply through workatastartup.com or here. We look forward to hearing from you!

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About The Role

We’re looking for a Software Engineer that will work closely with the Founders to improve and further develop the product. They’ll be in charge of further developing the predictive capabilities of our ML model and developing several genAI features to expand our platform's core capabilities. We’re looking for someone excited to work in a start-up environment and willing to take charge to push the product forward.

We’re excited about our direction and looking to bring a passionate engineer to join our journey. This is an earlyrole giving the engineer an opportunity to make an impact from day one and grow alongside the company.

Follow Cair Health on LinkedIn to stay updated on company progress and relevant job postings.

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Responsibilities

• Collaborate closely with the founders to shape the product vision and roadmap.
• Design, develop, and deploy scalable software solutions for our platform.
• Integrate machine learning algorithms to enhance predictive analytics on claims outcomes.
• Take charge and lead future engineering hires, fostering a culture of innovation and excellence.
• Continuously iterate on the product based on feedback and data-driven insights.
  
  

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Skills

• Proven experience in software development, preferably deploying solutions at scale.
• Experience with machine learning and predictive analytics.
• Experience with healthcare data is a plus.
• Excellent problem-solving skills and a growth mindset.
• Strong communication and collaboration skills.
  
  

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What We Offer

• As an early engineering hire, you'll have a chance to shape our product's direction and significantly impact the future of claims management.
• Competitive salary and equity package.
• A collaborative and dynamic work environment.
  
  

Join us in our mission to make medical insurance claims seamless and predictive for all stakeholders. If you're a visionary engineer looking to impact the healthcare industry significantly, we'd love to hear from you.

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