Founding AI Engineer - Pear VC : Job Details

Why August August 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 August are:

• Exceptional Early Traction: >4x revenue growth in the past four months.
• Global Reach: Our clients span 4 continents and use August in multiple languages and jurisdictions
• Frontier of Applied AI: August has access to proprietary data inaccessible to foundation model providers. We build agents to automate all challenging knowledge work.
• Strategic investors: Backed by NEA and exceptional seed investors Pear VC and Afore Capital, August has the capital to execute
• Competitive compensation and office in downtown Manhattan

Join August 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 August, 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.