WhyHow.AI

### **The Mission**

Architect and ship the core platform that turns raw public records and web data into actionable mass-tort insights - fast, defensibly, and at scale.

### **What You’ll Own**

*   **Hands-on Architect** - Python-first system design (ETL, micro-services, vector DBs). Write and review the trickiest code paths so tech debt stays near 0.
*   **Delivery Driver** - Break the roadmap into sprints, delegate to 2-5 engineers, and hit KPIs like scrape freshness, model recall, and 99.9 % uptime.
*   **AI/LLM Builder** - Productionize RAG pipelines, prompt-engineer, and monitor accuracy/bias for OpenAI/Anthropic/Gemini or self-hosted models.
*   **Team Multiplier** - Unblock with pair programming, crisp design docs, and thoughtful code reviews; grow juniors and challenge seniors.
*   **Stakeholder Translator** - Explain trade-offs to founders, product, and legal SMEs - balancing speed with compliance (PII redaction, audit logs).
*   **Startup Operative** - Thrive in ambiguity, pick pragmatic cloud/infra-as-code tools, and bake security & observability into V1.

### **What Success Looks Like**

*   **Zero-to-one velocity:** first customer-visible features in weeks, not months.
*   **Reliable pipelines:** daily web-scrape jobs and LLM inference running hands-off.
*   **Team uplift:** engineers level-up demonstrably within a quarter.

### **Your Toolkit**

*   5 + years building cloud-native back-ends in **Python** (FastAPI, Django, or similar).
*   Deep familiarity with **web scraping** (Scrapy/Playwright), async data pipelines, and object storage.
*   Real-world **LLM** work - vector search, prompt tuning, rate limited etc.
*   CI/CD, IaC (Terraform, Pulumi), and monitoring (Grafana, Sentry).
*   Clear written & verbal comms; you make complexity simple.

**Nice-to-Haves:** experience with PACER/RECAP, NHTSA/FDA data, SOC 2/SOX work, or other regulated domains.

### **Interview Process**

*   15 minute initial overview call
*   ~2-3 hour take home case study (no coding required). Architecture diagrams, task breakdown and written communication expected
*   1 hour pair programming assessment with CTO, with screenshare and agent use
*   30 minute Q&A with founding team  
    

### **Why Join**

Green-field ownership, tight feedback loops with real paying customers, and a chance to shape how legal data is engineered in the AI era.

### **Interview Process**

*   15 minute initial overview call
*   ~2-3 hour take home case study (no coding required). Architecture diagrams, task breakdown and written communication expected
*   1 hour pair programming assessment with CTO, with screenshare and agent use
*   30 minute Q&A with founding team