Senior Full Stack Engineer — Amari AI

Amari AI — Senior Full Stack Engineer Type: Full-time | On-site | San Francisco, CA Compensation: $210,000–$285,000 + 0.25%–0.6% equity Hiring count: 1 Visa sponsorship: H-1B transfers, OPT, O-1 all considered — no new sponsorship Reports to: Not specified About Amari AI Amari AI builds AI agents that automate the document-heavy operational work behind customs brokerage — reading shipment documents, classifying goods, and generating compliant customs filings with minimal manual input. Global trade is a ~$10T industry still running on manual workflows, and Amari's platform cuts customs clearance times to under 5 minutes and has already given 30,000+ hours back to brokerage teams. Past zero-to-one with strong month-over-month revenue growth and customers processing meaningful operational volume daily. Founded: N/A | Team size: N/A | Total funding: $5M (First Round Capital, Pear VC) Industry: AI / logistics / trade compliance Website: amari.ai Office: San Francisco, CA Why Candidates Should Join Real traction past zero-to-one: Customs clearance under 5 minutes, 30,000+ hours saved for brokerage teams, strong MoM revenue growth. Strong backing and pedigree: $5M from First Round Capital and Pear VC; founding team out of Google, LinkedIn, Salesforce, top schools, and AI research labs. High ownership + meaningful equity: Own core systems end-to-end across the full stack, working shoulder-to-shoulder with founders, with 0.25%–0.6% equity. Intake Call Summary Not available as text — the Contrario page includes an Intake Video only (no transcript). Flag for David if a summary is needed. The Role Amari AI is hiring Senior Full Stack Engineers to own core systems across the full stack — from backend services and data pipelines to the product surfaces operations teams use daily — with full production ownership. What You'll Be Doing Build and scale backend services using Python, FastAPI, and TypeScript that power Amari's AI agent workflows Design and optimize PostgreSQL data models and queries for high-throughput document processing Build and manage infrastructure on AWS and orchestrate workflows using Temporal Architect and ship React frontend surfaces that give operations teams visibility and control over automated workflows Build human-in-the-loop AI interfaces that make AI outputs transparent, explainable, and manageable Own AI agent integrations, document ingestion pipelines, and real-time processing systems Work directly with founders and customers to ship fast and iterate on what matters Tech stack: Python, FastAPI, TypeScript, React, PostgreSQL, AWS, Temporal Requirements 5 - 8+ years of professional software engineering experience, with a proven track record in high-growth, fast-paced environments Open to 3+ years of experience for candidates with exceptional university pedigree (top 50 school) Deep proficiency in TypeScript and React, with the ability to architect complex state management for data-intensive applications. Advanced PostgreSQL, schema design, indexing, query optimization You are a "builder" who prefers shipping over over-engineering. You write crisp requirements and drive cross-functional delivery with minimal supervision. Experience (or a deep interest) in integrating AI APIs and handling complex document extraction workflows. You are energized by working shoulder-to-shoulder with founders in our San Francisco office. Green Flags Founding or early-stage engineer on the resume. Has built without scaffolding, before process or teammates existed. Production code on both Python/FastAPI and TypeScript/React. Not "familiar with," actually shipped to prod on both sides without handing off either. AI API or document extraction in a real product. LLM integrations or OCR that went live; filters out tutorial experience. Concept-to-production under startup timelines. Moved fast with minimal direction; look for specifics like "built X in N weeks." Held uptime during a scaling event. Didn't just build green-field, kept something running while it grew fast. Enterprise-adjacent exposure (security, compliance, data retention). Signals they've thought beyond the happy path. Red Flags Only big tech experience, no startup background Needs heavy management or hand-holding. Look for vague ownership language or roles where someone else made the calls. Motivated primarily by base over equity and ownership. Signals misalignment with early-stage tradeoffs. No experience with data-intensive or real-time systems. Filters out candidates who've only worked on simple CRUD apps. Internships counted toward years of experience. Years should reflect production ownership, not learning environments. Large company only, no startup-speed execution evidence. Big tech tenure without a scrappy chapter is a real risk at this stage. No end-to-end production ownership. Has contributed to systems but never owned one fully from build to maintenance. Role Details Salary$210,000–$285,000Equity0.25%–0.6%On-site policyFully in-person; based in or willing to relocate to San FranciscoVisa sponsorshipH-1B transfers, OPT, O-1 all considered — no new sponsorshipEmployment typeFull-timeLocationSan Francisco, CA Benefits & Perks: Health insurance fully covered · Dental & vision 75% covered · 401k plan Screening Questions None present on the Contrario page. Interview Process Stage 1 — Initial call (30 min) — Initial screening call. Stage 2 — Initial talk (30 min) + Technical round — Screen plus technical evaluation. Stage 3 — Project round — Take-home / project evaluation. Stage 4 — Culture round — Team/culture fit. Stage 5 — Offer Extended Stage 6 — Candidate Hired — Candidate accepts and starts. Note: Contrario's pipeline also lists parallel/duplicate stage labels ("1A+2 Senior full stack", "1B+2 Senior full stack") that read as internal pipeline configuration rather than distinct candidate-facing stages — represented as a single clean flow above. Ideal Companies & Backgrounds No "Ideal Companies" section present on the Contrario page. Ideal Candidate Profiles For reference only — do not source these specific profiles. (Contrario header: "Ideal Candidates -- DO NOT CONTACT") Ivan Schurawel — LinkedIn URL not available (page renders a LinkedIn button with no extractable href) Only one profile is rendered in the copied HTML; if more were listed under a collapsed view, re-copy with the section fully expanded. Rejected Candidate Feedback None present on the Contrario page.