Principal Engineer | Co-Founder
CaseCraft AI
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About the role
Role Overview
As Principal Engineer and technical co-founder, you will architect and build the core platform from the ground up alongside the founder. This is a founding-level engineering role with full ownership across every layer of the technical stack, from intake pipeline to matching algorithm to attorney-facing dashboard.
Key Responsibilities
- Case Intake Pipeline — Build an NLP-driven system that converts plain-language consumer narratives into structured, attorney-ready case profiles with extracted fields (injury severity, liability clarity, insurance presence, settlement estimates)
- Lead Scoring Engine — Design a configurable scoring model that evaluates incoming leads against settlement size, liability clarity, injury severity, and insurance coverage thresholds
- Attorney Matching Algorithm — Develop an outcome-weighted matching system that routes qualified cases to attorneys based on practice area, preferences, geographic coverage, and conversion patterns
- Attorney-Facing Dashboard — Create a clean interface where attorneys receive, review, and act on pre-qualified case profiles with full scoring transparency
- Data Infrastructure — Build backend systems for ingestion, storage, analytics, and feedback loops for continuous improvement
- API and Integration Layer — Design extensible APIs for future integrations with attorney CRMs, intake software, and marketing platforms
Required Qualifications
- 8+ years of professional software engineering experience, with at least 3 years in a senior or staff-level role owning architecture decisions
- Deep proficiency in full-stack development (Python or Node.js backend; React or similar frontend framework)
- Hands-on experience with NLP/ML pipelines, including text classification, entity extraction, or structured data generation from unstructured inputs
- Strong background in designing and deploying production APIs, data pipelines, and cloud infrastructure (AWS preferred)
- Experience building scoring or ranking systems, recommendation engines, or lead qualification tools
- Comfort operating in a pre-product, zero-to-one environment where speed and iteration velocity matter more than process
- Clear, direct communication style—able to translate technical tradeoffs into business decisions
Nice-to-Have
- Experience in legal tech, insurance tech, or lead generation platforms
- Familiarity with legal data structures (case types, jurisdiction rules, statute of limitations logic)
- Prior founding or early-stage startup experience
About CaseCraft AI
CaseCraft AI is an early-stage startup building a lead-quality optimization platform for contingency attorneys. The platform converts plain-language descriptions of legal situations into structured case profiles and intelligently matches them with the right lawyer based on outcome-weighted compatibility, focusing initially on solo personal injury attorneys handling car accident cases.
Scraped 4/1/2026