Software Engineer – GenAI, LLM Applications

🕒 July 16

🇮🇳 India – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🧑‍💻 Full-stack Engineer

👻 Ghost score 38%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ZEISS VisioGen

WebsiteLinkedInAll Job Openings

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.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Health insurance • Third-party payroll • Flexible working arrangements • Professional development