Mid-Level Software Engineer — Data Systems & AI Integration

Remote Full-time
Mid-Level Software Engineer — Data Systems & AI Integration Location: Hybrid (NYC / Remote) • Type: Full-Time About OurFirm.ai We're a fast-growing AI litigation platform that turns raw filings, transcripts, and discovery into structured intelligence—powering judge/jury modeling, outcome forecasting, and end-to-end drafting workflows. The Role Build and maintain the data systems that power our AI platform. You'll design and scale pipelines, relational schemas, and retrieval layers that feed our AI systems (RAG, analytics, simulation), while contributing to full-stack features as needed. You Will • Build high-throughput ingestion and transformation pipelines for legal documents and metadata • Design and optimize PostgreSQL schemas for analytics and AI retrieval at scale • Implement data cleaning/normalization for messy real-world legal text • Integrate structured data with vector databases and LLM systems for RAG workflows • Optimize queries and indexes for sub-second performance over millions of records • Build API endpoints and backend services (Node.js/Next.js) that expose data to our frontend • Deploy and monitor data infrastructure on AWS (RDS, S3, Lambda, EC2) You Have • 3–6 years in software or data engineering • Strong Python + SQL; Node.js experience preferred • Experience with relational data modeling at scale and ETL/ELT patterns • Familiarity with Prisma ORM or similar ORMs • Knowledge of vector databases (Pinecone/FAISS/Qdrant) and LLM APIs (OpenAI/Anthropic) • Comfortable with distributed data processing (Spark/Dask/Polars a plus) Nice to Have • Legal/regulatory data experience • Next.js/React full-stack development • Knowledge graphs or RAG implementation patterns • Experience with data observability tools Our Stack Next.js • Node.js • Prisma • PostgreSQL • AWS (RDS/S3/Lambda) • Vector DBs • OpenAI/Anthropic APIs/Gemini APIs Why OurFirm.ai • Build foundational infrastructure for a category-defining legal AI platform • Work with a small, senior engineering team (you'll be engineer #2) • Hybrid flexibility with 2-3 days/week in our NYC office • Competitive salary, meaningful equity, full benefits • Direct impact on product direction and technical architecture Apply: [email protected] Include: Resume + GitHub/LinkedIn + brief note on your most complex data system + tell us what makes you tick Apply tot his job
Apply Now →

Similar Jobs

AI Transformation Trainee / Consultant (Career Transition Program)

Remote Full-time

Principal AI Strategy Consultant (Enterprise Transformation)

Remote Full-time

Senior Sales Executive (Data & AI Solutions)

Remote Full-time

AI Transformation Senior Manager - Communication, Media, Technology

Remote Full-time

Business Transformation and Automation - Senior Associate

Remote Full-time

Managing Director, FP&a Saas, Private Equity Advisory

Remote Full-time

Senior Principal, Business Consulting - AI for Utilities

Remote Full-time

Senior Engineering Manager - Community Support Engineering

Remote Full-time

Senior Manager, Experiences Acquisition, Americas

Remote Full-time

Community Engagement Manager (contract)

Remote Full-time

Remote NFL Sports Blogger

Remote Full-time

Sr. Salesforce Administrator (NO Third Parties)

Remote Full-time

Revenue Operations Specialist - Customer Success Team for SaaS Company Focused on Accounting Firms - Remote Work Opportunity

Remote Full-time

Senior Proposal Strategy Director

Remote Full-time

Accountant Trainee

Remote Full-time

**Experienced Data Entry Specialist – Remote Opportunity for Career Growth at arenaflex**

Remote Full-time

Experienced Full-Time and Part-Time Remote Customer Service Associate – Flexible Work Schedule and Comprehensive Benefits at Blithequark

Remote Full-time

Experienced Remote Data Entry and Customer Service Representative – Work from Home Opportunity with blithequark

Remote Full-time

**Remote Online Chat Specialist (Entry Level) at arenaflex**

Remote Full-time

Director of Real Estate Operations

Remote Full-time
← Back to Home