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. We build agents to automate all 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 OverviewAs 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 DoBuild 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.
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.