Founding AI Engineer

Apply Now

Company: Pear VC

Location: New York, NY 10025

Description:

Why Vecflow

Vecflow is building AGI for law. Our agents mimic a lawyers' reasoning, research, and drafting, and our workflows already outperform lawyers in third-party evaluations. We're targeting mid-market law firms, automating their legal work and allowing them to provide our tools directly to their clients. Some reasons to join Vecflow are:
  • Exceptional Early Traction: >4x revenue growth in the past four months.
  • Global Reach: Our clients span 4 continents and use Vecflow in multiple languages and jurisdictions
  • Frontier of Applied AI: Vecflow has access to proprietary data inaccessible to foundation model providers to build agents to fully automate challenging knowledge work
  • Strategic investors: Backed by tier 1 investors and exceptional seed investors Pear VC and Afore Capital, Vecflow has the capital to execute
  • Competitive compensation and office in downtown Manhattan

Join Vecflow at an early stage as we scale our agents to process thousands of documents simultaneously and create outputs exceeding human-level accuracy.

Role Overview

As a Founding AI Engineer at Vecflow, you will design and scale production-grade agents that perform legal tasks with expert-level reasoning. You'll work closely with the founders, legal experts, and product team to deploy AI systems in high-stakes workflows used by real lawyers across the globe.

What You'll Do
  • Build and deploy agentic systems using Python to automate, evaluate, and scale end-to-end legal workflows
  • Zero-to-one product development: rapidly prototype, evaluate, integrate, and test new product features in close partnership with our customers and legal team.
  • Develop new AI native workflows: implement streaming, long-running tasks, procedural UX, etc. for new AI tasks, finding the balance between state-of-the-art and pragmatism.


Required Skills & Experience
  • 3+ years of experience building products on top of LLMs, either in grad school or in production environments; strong Python skills
  • Demonstrated ability to ship quickly especially in early-stage environments while building scalable enterprise software
  • Grit - experience working at early-stage startups is a plus.
  • Ideally candidates would have experience and deep understanding of how infrastructure-layer (Kubernetes, Database, OS, Cloud Storage etc) software systems work.

Similar Jobs