Senior Full Stack Engineer
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Role details
Tech stack
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Job description
Own core systems across the full stack - from backend services and data pipelines to the product surfaces operations teams use every day - with full production ownership., * Build and scale backend services using Python, FastAPI, and TypeScript that power 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, * 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.
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., * 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.
Benefits & conditions
Pulled from the full job description
- Health insurance
- Vision insurance
- Dental insurance, * Real traction past zero-to-one: customs clearance under 5 minutes, 30,000+ hours saved, strong MoM revenue growth
- High-ownership full-stack role with meaningful equity, working shoulder-to-shoulder with founders
- Health insurance fully covered, dental & vision 75% covered, 401k plan
About the company
A venture-backed AI company automating the document-heavy operational work behind customs brokerage and global trade - using AI agents to read shipment documents, classify goods, and generate compliant customs filings with minimal manual input. The platform cuts customs clearance times to under 5 minutes and has already returned 30,000+ hours to brokerage teams. Past zero-to-one, with strong month-over-month revenue growth and customers processing meaningful operational volume every day.
Industry: AI / logistics / trade compliance
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