OpenEvidence
Software Engineer, Applied AI
About this role
OpenEvidence is seeking a dynamic Software Engineer specializing in Applied AI to develop comprehensive systems that drive impactful medical AI solutions. The role emphasizes end-to-end ownership and innovation in a high-performance environment with a focus on transformational products.
What you'll do
- Develop and implement end-to-end software systems
- Leverage modern AI models for product development
- Collaborate across diverse projects and teams
- Take ownership of impactful engineering tasks
- Engage in high-level problem-solving
- Drive innovation in medical AI technology
What they're looking for
- Proficiency in AI and machine learning models
- Strong software engineering background
- Ability to work collaboratively
- Autonomous problem-solving skills
- Experience with product development
- Motivated and results-oriented mindset
- Ability to thrive in a fast-paced environment
- Low-ego and adaptable approach
Benefits
- Work in a leading medical AI platform
- Collaborate with top talent from elite universities
- Opportunity to impact millions of lives
- In-person team environment
- Fast-paced, innovative culture
- Competitive salary in a high-growth company
Opens the application — the Jobs AI extension fills it for you. Set up autofill
Opens the official application on the employer’s site. No login required.
OpenEvidence
OpenEvidence builds a widely-used medical AI platform that serves healthcare providers globally, helping clinicians make better medical decisions. The company is hiring for infrastructure, backend, security, data platform, and product engineering roles to build and scale mission-critical systems supporting their healthcare AI platform.
View all jobs at OpenEvidenceLikely interview questions
- Walk us through a time you built an end-to-end system from scratch. What were the hardest technical decisions, and how did you make them?
- Describe your experience integrating large language models or AI models into production systems. What went wrong, and how did you handle it?