Key skills
PythonSQLNoSQLAILLMAnalyticsReactNext.jsVueNode.jsAWSAzureGCPKubernetesDockerRESTfulPerformance OptimizationCI/CDProduct ManagementCollaboration
About this role
Impiricus is an AI-powered HCP Engagement Engine, recognized as the fastest growing company in North America by Deloitte. The Software Engineer will design, develop, and optimize digital healthcare solutions, focusing on scalable software development and cross-functional collaboration.
Responsibilities:
- Design, build, and maintain scalable APIs, services, and data pipelines primarily in Python, leveraging microservices and cloud-native architectures
- Implement secure, high-performance, and maintainable system designs that can evolve with business and healthcare needs
- Develop web applications and dashboards (React/Next.js or similar) that surface backend and AI functionality to internal and external users
- Integrate and refine LLM workflows including prompt engineering, model orchestration, and backend/UX pipelines for intelligent healthcare solutions
- Ensure engineering excellence through code reviews, testing, CI/CD automation, observability, and performance optimization
- Guide technology decisions, frameworks, and best practices for software development
- Lead and mentor junior engineers and offshore development teams
- Stay up to date with industry trends and emerging technologies to drive continuous improvement
- Provide technical documentation and architectural diagrams for system enhancements
- Work closely with Product Management to define technical requirements and roadmap initiatives
- Collaborate with UX/UI teams to ensure seamless and intuitive user experiences
- Integrate backend APIs and microservices for efficient data exchange across platforms
- Partner with data analytics teams to optimize performance and scalability
Requirements:
- 2+ years of software engineering experience, with a strong focus on backend development in Python (Node.js a plus)
- Familiarity with frontend frameworks (React/Next.js, Vue, or similar) to deliver full-stack solutions
- Hands-on experience with LLMs, prompt engineering, and AI model integration into production systems
- Proficiency in RESTful APIs, microservices, and database management (SQL & NoSQL)
- Experience with cloud platforms (AWS, Azure, or GCP), containerization (Docker, Kubernetes), and DevOps practices (CI/CD pipelines, monitoring, observability)
- Bachelor's degree in Computer Science, Engineering, or a related field
- Knowledge of healthcare compliance standards (e.g., HIPAA) is preferred
- Experience working with distributed or offshore engineering teams is a plus