You'll work on an intellectual property protection and rights enforcement platform that scrapes e-commerce marketplaces and media channels, analyzes suspects with LLMs and custom workflows, and automates IP enforcement actions.
The codebase is modern async Python end-to-end — FastAPI, SQLAlchemy 2.0, Pydantic, Celery / Cloud Tasks on GCP.
What You'll Do
- •Build and improve LLM-powered analysis tools — infringement detection via vision models, conversational agents with tool calling, automated insight generation.
- •Add support for new e-commerce and media platforms — each one means new scraping challenges, data schemes, and anti-bot puzzles.
- •Work on the campaign pipeline — a staged fan-out/fan-in system that searches, filters (via LLM), and creates cases across multiple platforms in parallel.
You Should Have
- •Modern Python — async/await, type hints, Pydantic, dataclasses (2+ years).
- •Fast learner who picks up new domains and tools quickly.
- •Strong communication and collaboration skills — small team, async-first, your input shapes the product.
Strong Advantage
Experience in any of these areas will set you apart:
- •LLMs in production — prompt engineering, structured output, multi-model evaluation, cost/latency trade-offs.
- •Agent development — multi-turn conversations, tool calling, planning, autonomous task execution.
- •Modern LLM-leveraged development workflows — specification-driven development, AI-assisted coding, agentic tooling.
- •Web scraping & browser automation at scale — proxy rotation, anti-bot evasion, Playwright, headless browsers.
- •E-commerce platform experience (Amazon, eBay, Alibaba, Shopee, Mercado Libre, etc.).
- •Background in marketing tech or legal tech — enforcement workflows, brand protection, IP processes.
Bonus
- •GCP (Cloud Run, Cloud Tasks)
- •pydantic-ai, Langfuse
- •Vision / multimodal models
- •PostgreSQL, FastAPI, distributed task systems
Apply to Work at EnforceShield
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