We are building the interface layer between clinicians and intelligent systems. And we need a designer who has thought hard about what that actually means.

Zyephr is a Clinical OS powered by AI decision support and agent-assisted care — built for hospitals in India. We are hiring a Senior Designer specialising in UI/UX, AI Interfaces, and Clinical Decision Support.

This is not a role for someone who makes AI outputs look clean. It is for someone who can make them trustworthy.

𝗪𝗵𝗮𝘁 𝘆𝗼𝘂 𝘄𝗶𝗹𝗹 𝗯𝗲 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴

→ How AI recommendations reach a clinician — and how a clinician pushes back

→ Interaction models for semi-autonomous agents: delegation, status, interruption, correction

→ The visual language that separates AI-generated content from human-entered data

→ Complex clinical dashboards for physician, nurse, and administrator roles — mobile-first throughout

→ The Zyephr design system, owned end to end

𝗪𝗵𝗮𝘁 𝘄𝗲 𝗱𝗲𝘀𝗶𝗴𝗻 𝗯𝘆

Safety is the constraint. Every AI output has a visible human checkpoint.

Signal, not noise. Clinicians read in seconds. We cut everything else.

Earned trust. AI confidence is shown, not hidden.

The agent is transparent. Users always know what it is doing and how to stop it.

𝗪𝗵𝗼 𝘄𝗲 𝗮𝗿𝗲 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿

✔ 3+ years in product design with shipped 0-to-1 work in your portfolio

✔ A point of view on AI interface trust you can defend in a clinical conversation

✔ Experience with data-dense dashboards where a misread value has real consequences

✔ Mobile-first as a practice, not a responsive afterthought

✔ Figma mastery — Variables, Auto Layout, multi-mode systems

✔ WCAG 2.2 as a habit, not a final audit

✔ Comfort working directly with clinicians and extracting what matters for design

Bonus: health tech or EMR exposure · agent/LLM interface design · React/CSS · AI-assisted design tools · Indian clinical context

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗿𝗲𝗺𝗼𝘁𝗲-𝗳𝗿𝗶𝗲𝗻𝗱𝗹𝘆 𝗮𝗻𝗱 𝗼𝗽𝗲𝗻 𝘁𝗼 𝗰𝗮𝗻𝗱𝗶𝗱𝗮𝘁𝗲𝘀 𝗮𝗰𝗿𝗼𝘀𝘀 𝗜𝗻𝗱𝗶𝗮.

To apply, send your portfolio and a short note on your AI interface philosophy to [email protected]

If you know someone who thinks carefully about the UX of systems that can be wrong, please tag them or share this.

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