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Product Engineer (Full Stack)
Location: NYC (In-Person / Hybrid)
|
Full-Time
|
$150,000 -
$250,000
SvelteKit
GraphQL
Python
Full Stack
AI
Legal Tech
FastAPI
Tailwind
Svelte
Bun
Deno
AI/ML infra
structured concurrency
NYC
AI Engineer
Full Stack Engineer
Product
Company Description: Equall is building the OS for legal risk — a real-time AI platform that does legal work (not a co-pilot). We utilize custom knowledge graphs and multi-agent systems to create outputs that replace hundreds of lawyer-hours, solving real pain points for top law firms. Role Description: As a Product Engineer (Full Stack) at Equall, you will be a core member of our high-output, in-person team based in NYC. You will take ownership of features from conception to deployment, working across our entire stack and directly contributing to our AI-native product designed to tackle complex legal challenges. Responsibilities: - Own and ship full-stack features across SvelteKit, GraphQL, and Python. - Collaborate closely with the team in our NYC office (hybrid options available). - Engage directly with challenging problems faced by top law firms and build solutions. - Contribute significantly to building an innovative AI-native product. Required Qualifications: - Based in NYC or willing to relocate. - Demonstrates a serious work ethic, speed in execution, and resilience for working long hours on difficult problems. - Minimum of 2 years of professional software engineering experience. Ideal Candidate Profile: You are a highly motivated and skilled full-stack engineer passionate about building impactful products using cutting-edge technology. You thrive in fast-paced environments, enjoy tackling complex challenges, and are eager to contribute to an AI-driven solution in the legal tech space. You are comfortable working across the stack and collaborating intensely with a dedicated team. Nice-to-Have Skills: - Experience with FastAPI, GraphQL, Tailwind CSS, Svelte/SvelteKit. - Familiarity with modern JavaScript runtimes like Bun or Deno. - Experience with AI/ML infrastructure. - Understanding of structured concurrency concepts.
Post Date:
May 21, 2025