Remote-first (India)
Adalat AI is a nonprofit building software and AI for justice systems. Our products help courts work with proceedings, documents, and legal information. We need engineers who can protect sensitive data while keeping these workflows reliable and usable.
Role Overview
We’re hiring a Senior Frontend Platform Engineer to join our platform team and build core components for our product suite. This is not a generic dashboard gig: you’ll work on real-time audio playback, text editors, design systems, and document collaboration, with UX designed for busy judges. You’ll collaborate with a small team of elite builders shipping impactful features fast.
Key Responsibilities
Build and maintain production-grade frontends using Next.js/Vite+, TypeScript, and TailwindCSS.
Own some of our key frontend components around audio transcription, document collaboration.
Implement seamless UX for audio recording, playback, and rich-text editing.
Collaborate closely with product and design teams to ship end-to-end features.
Uphold a high bar for code quality through reviews and testing (Playwright / unit tests).
Proactively suggest and prototype new ideas to improve the product.
Qualifications
Have 10+ years of experience working on production JS/TS codebases.
Deep experience with browser internal APIs.
Have shipped complex UIs and helped scale frontend architecture.
Are obsessive about reducing user pain and improving speed and accessibility.
Have experience working with or building design systems.
Bonus
Experience working with audio APIs or rich-text editors or yJS.
What You Will Achieve in a Year
Scaled our document collaboration platform to higher capacity.
Helped build and maintain a design system that's accessible and loved by real-world users.
Contributed meaningfully to improving access to justice at scale.
We keep our process straightforward and transparent. Here's what to expect:
R1 — Founder Chat (30 minutes)
An introduction to Adalat AI — our mission, the problem we're solving, and an initial conversation around role fit.
R2 — Technical Round (60 minutes)
A coding session on a pre-shared codebase. You'll have time to review it beforehand so you can hit the ground running.
R3 — Background Deep-Dive (60 minutes)
A focused discussion on your background — the problems you've worked on, what you've built, and how your experience connects to what we're doing at Adalat AI.
R4 — Offer
If it's a great match on both sides, we'll move forward with an offer.
Benefits and Perks
WFH with flexible work hours.
Unlimited PTO.
Autonomy and ownership.
Learning & development resources — including certifications relevant to this role.
Smart, humble, and friendly peers.
Maternity and paternity leaves.
Contacts within the Harvard / MIT / Oxford ecosystem.