Sr Software Engineer - Backend
About The Position
As a Senior Backend Engineer at Hippocratic AI, you will play a key role in building the core infrastructure that powers our AI-driven healthcare products. You'll join a collaborative team of engineers, applied scientists, and healthcare professionals working at the intersection of Generative AI and clinical workflows. Your work will focus on designing, developing, and scaling backend systems that ensure our products are safe, reliable, and ready for high-stakes use in healthcare environments. This role is deeply cross-functional-you will work closely with ML engineers, data scientists, product managers, designers, and clinical experts to transform complex requirements into secure, high-performance backend services. From data processing pipelines to API design and system reliability, your contributions will directly shape how patients and providers interact with next-generation AI systems. We're looking for engineers who are passionate about innovation, thrive in fast-paced environments, and want to build real-world healthcare solutions with cutting-edge AI technologies.
Requirements
- Bachelor's degree in Computer Science, Engineering, or equivalent experience.
- 5+ years of backend development experience using Python, Go, or similar languages.
- Familiarity with SaaS control planes, relational databases, and RESTful APIs.
- Strong understanding of cloud infrastructure (AWS, GCP, Kubernetes, S3).
- Proven ability to architect scalable systems and deliver high-quality, production-grade code.
- Excellent problem-solving, communication, and collaboration skills in fast-moving environments.
Nice To Haves
- Experience Building agentic frameworks or orchestration platforms for LLM-based agents
- Designing/deploying conversational AI backends
- Developing production-grade LLM applications or autonomous agents
Responsibilities
- Develop and maintain scalable backend systems for high-performance AI applications in healthcare.
- Collaborate with ML engineers and data scientists to design and build efficient pipelines for large-scale healthcare datasets.
- Build and manage APIs and microservices that enable data retrieval, processing, and interaction with AI models.
- Implement strong data security, privacy, and compliance practices for sensitive patient data.
- Monitor, debug, and optimize backend systems for performance, reliability, and uptime.
- Translate healthcare and product requirements into architectures and technical solutions.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
101-250 employees
