Founding AI Engineer

Our client, an AI-driven legal tech company, is hiring a Founding AI Engineer to join the team in San Francisco, CA. The successful candidate will design and deploy production-grade LLM systems for a next-generation legal technology platform, while also transforming complex legal workflows into reliable, agent-driven solutions that work seamlessly across documents, communications and structured data.

• Build and deploy production-grade LLM systems for document analysis, legal drafting and workflow automation.
• Design and orchestrate AI agents that execute complex, multi-step tasks using frameworks such as Lang Chain and Deep Agents.
• Create comprehensive AI evaluation frameworks to measure accuracy, reliability, regressions and production performance.
• Build scalable pipelines for ingesting, processing and structuring complex documents, including OCR and unstructured data extraction.
• Improve model and agent performance through prompt engineering, retrieval optimization, context management and tool integration.
• Develop RAG, memory and retrieval systems that allow AI agents to reason effectively across large volumes of legal information.
• Monitor, troubleshoot and improve long-running agent workflows, identifying and resolving reliability issues and production failures.
• Partner with product and engineering teams to turn complex legal processes into scalable AI-powered workflows and product capabilities.
• Help shape the wider AI architecture, making practical technical decisions as the platform and customer base grow.
• Own AI systems throughout their lifecycle, from experimentation and evaluation to production deployment, monitoring and continuous improvement.

• At least 3 years of professional software engineering experience, successfully building and shipping production AI systems.
• Strong proficiency in Type Script, with a solid background in developing reliable, production-grade backend services.
• Hands-on experience building with LLMs, AI agents and agent orchestration frameworks, ideally including Lang Chain or similar technologies.
• Experience developing AI evaluation and testing frameworks, including benchmarks, test datasets, regression testing and performance monitoring.
• Strong knowledge of RAG, prompt engineering, context engineering and tool-enabled LLM architectures.
• Experience with document intelligence, OCR, information extraction and unstructured data processing.
• Proven ability to diagnose and improve the reliability, accuracy and performance of production AI systems.
• A high-ownership approach, with the ability to take complex technical systems from initial concept through to production.
• Experience with in an early-stage startup or similarly high-growth engineering environment would be highly valued.

• Salary: $120k - $200k DOE.
• Equity.