Founding AI Engineer

Founding AI Engineer

Responsibilities

• 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 LangChain 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.

• Skillset

• At least 3 years of professional software engineering experience, successfully building and shipping production AI systems.

• Strong proficiency in TypeScript, 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 LangChain 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 within an early-stage startup or similarly high-growth engineering environment would be highly valued.

Benefits

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