About Us
At LawLoop, we’re transforming how people access legal help. Using AI to analyze attorney case histories, firm characteristics, and user needs, we deliver real-time, high-fit lawyer recommendations. We’re backed by Pear VC and a growing list of law firms: we're growing our engineering team to scale the impact.
Our mission: democratize access to legal services by replacing outdated reception and intake systems with agentic AI.
The Role
We’re looking for a Back-End Software Engineer to help us build the infrastructure that powers our AI-driven legal matchmaking platform. You’ll be responsible for architecting and maintaining systems that ingest, process, and retrieve real-time case and law firm data.
What You'll Do
Design and implement scalable APIs and microservices using Node.js, Python, or similar.
Build and maintain server-side infrastructure and integrations with third-party tools (e.g., Pinecone, Supabase, OpenAI, LLama, etc.)
Work with the team to deploy and optimize vector-based search and matching algorithms (e.g., using Pinecone, Dagster).
Implement best practices around security, database performance, and error handling.
Collaborate closely with founders and front-end engineers (React + Next.js) to deliver fast and responsive features.
What We're Looking For
2+ years of experience in back-end development.
Experience with modern back-end stacks (e.g., Node.js, TypeScript, Python, PostgreSQL).
Familiarity with serverless architecture and tools like Supabase, Pinecone, and cloud functions.
Comfort working in an early-stage startup: you’re scrappy, autonomous, and impact-driven.
Bonus: Experience working with AI APIs (OpenAI, LLama) or embedding-based search.
Why Join Us
Build products that directly help people find legal representation.
Work with a lean, founder-led team who ship fast and iterate even faster.
Competitive salary and meaningful equity.
Opportunity to help shape core product infrastructure at an early stage.