Full Stack Engineer
$200k - $350kProtech Talent
Job Description
Senior/Staff Full-Stack Engineer (AI Legal/Immigration Tech)
\nLocation: Hybrid (3–4 days/week in San Francisco, CA or New York, NY)
\nCompensation: $200,000 – $350,000 Base Salary + 0.25% – 1% Equity
\nVisa Status: Open to Visa Transfers (OPT, H-1B)
\n \nThe Company
\nOur client is an exceptionally capital-efficient, high-growth startup modernizing one of the most broken, high-stakes processes in the talent ecosystem: U.S. immigration.
\n \nBuilt by founders with deep domain expertise, they are the infrastructure behind global talent mobility. Their traction is staggering: they have already hit $10M in revenue on just $2M in venture funding, with a clear path to 4x growth this year . They are solving a massive, deeply human problem by building an AI-native platform that automates complex legal workflows at scale.
\n \nThe Role
\nAs a Senior/Staff Full-Stack Engineer, you will have full ownership of product/feature development. You will interface directly with users and internal legal operations teams to shape exactly what gets built.
\n \nYou will own the hardest technical challenges: redesigning workflow orchestration systems, shaping complex API and data architectures, and building agentic LLM systems that automate legal processes end-to-end.
\n \nKey Responsibilities
\n• Redesign Workflow Orchestration: Architect and build robust, scalable task and workflow orchestration systems for complex, multi-step legal processes.
\n• Build Agentic AI Systems: Develop and deploy LLM-powered agents that automate end-to-end legal operations and document processing.
\n• Own Core Architecture: Drive data modeling, schema design, database migrations, and complex API access controls across the backend.
\n• Ship Full-Stack Features: Build polished, fast, and reliable user-facing customer portals and internal legal-ops tooling.
\n• Operate Without a PM: Talk directly to end-users and operational teams, translate business pain points into technical specs, and ship multiple times a day.
\n \nTech Stack
\n• Frontend: React, TypeScript
\n• Backend: Python or Node, FastAPI, GraphQL
\n• Database & Data: PostgreSQL (Relational schema design)
\n• AI & Automation: LLMs, Agentic Workflows
\n \n️ What We're Looking For
\n• 2+ Years Experience: Proven track record shipping complex products across the full stack (frontend and backend), with a strong lean toward backend/systems architecture.
\n• Early-Stage Builder DNA: You have been a founding engineer, early employee, or technical leader at a VC-backed early-stage startup (Seed/Series A).
\n• Product-Minded Execution: You thrive in environments without PMs, taking end-to-end ownership of the product from user discovery to production deployment.
\n• Technical Depth: Deep expertise in TypeScript/React on the frontend and Python or Node on the backend, with strong SQL data modeling skills.
\n• Exceptional Communication: Ability to independently triage issues and confidently explain technical decisions and business impact to non-technical stakeholders.
\n \nWhy Join
\n• Massive Equity & Revenue: 0.25%–1% equity in a company generating $10M+ in revenue with only $2M raised.
\n• Real-World Impact: Build software that actively helps high-skilled immigrants navigate one of the most stressful, frustrating systems in the world.
\n• Extreme Autonomy: Shape product direction directly with the CEO and users.
\n \nInterview Process
\n1. Intro Call (30 mins): High-level conversation covering your background, your motivation for joining a small, PM-less team, and general technical orientation.
\n2. Technical Screen (1 hour): A practical coding and architecture session grounded in real engineering challenges (e.g., data structuring, API redesign, security constraints). No LeetCode or algorithmic puzzles.
\n3. System Design (1 hour): Deep dive into scaling backend systems, workflow orchestration, and data models.
\n4. Virtual Onsite (3 - 4 hours): Comprehensive technical and cultural rounds with the founding team, focusing on how you tackle complex business processes and communicate technical trade-offs.
$200k - $350k
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