
51 - 200 employees
Founded 2024
🏥 Healthcare
🤖 Artificial Intelligence
☁️ SaaS
Healthcare • Artificial Intelligence • SaaS
ZEISS VisioGen is a human-verified, AI-driven patient communication platform purpose-built for ophthalmology clinics. It captures patient inquiries 24/7 (via website chat), generates tailored draft responses with AI, and requires review and approval by a ZEISS-trained optometrist before any message is sent. The system emphasizes clinical safety, consistency, lead capture, reduced staff workload, HIPAA-aligned privacy, and measurable conversion improvements; it was introduced globally at ASCRS 2026 and is actively deployed across US ophthalmology practices.
🕒 July 16
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51 - 200 employees
Founded 2024
🏥 Healthcare
🤖 Artificial Intelligence
☁️ SaaS
Healthcare • Artificial Intelligence • SaaS
ZEISS VisioGen is a human-verified, AI-driven patient communication platform purpose-built for ophthalmology clinics. It captures patient inquiries 24/7 (via website chat), generates tailored draft responses with AI, and requires review and approval by a ZEISS-trained optometrist before any message is sent. The system emphasizes clinical safety, consistency, lead capture, reduced staff workload, HIPAA-aligned privacy, and measurable conversion improvements; it was introduced globally at ASCRS 2026 and is actively deployed across US ophthalmology practices.
• Design, develop, and deploy production-grade LLM-powered applications. • Build Agentic workflows and multi-step AI applications using frameworks such as LangChain and LangGraph. • Develop and maintain RESTful APIs and streaming services using FastAPI and asynchronous Python. • Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models. • Write clean, scalable, and well-documented Python code following engineering best practices. • Contribute to CI/CD pipelines and deployment workflows across development, staging, and production environments.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. • 2–3 years of software development experience, including at least 1 year building GenAI or LLM-based applications. • Strong proficiency in Python, including asynchronous programming (async/await). • Experience building APIs using FastAPI or similar Python frameworks. • Good understanding of prompt engineering, Retrieval-Augmented Generation (RAG), and LLM application architecture. • Experience with Git, version control, and CI/CD workflows. • Strong analytical, problem-solving, and communication skills with the ability to work in a collaborative environment.
• Health insurance • Third-party payroll • Flexible working arrangements • Professional development
Apply Now🕒 July 13
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