Lead AI Engineer - Legal EdTech - REMOTE

Job Summary:

BARBRI is transforming how legal education and professional learning are delivered through the power of AI. As a Lead AI Engineer, you will design, build, and deploy AI-powered products, workflow automations, and intelligent systems that drive measurable business impact across our products and operations. This is a highly visible senior individual contributor role working closely with the Head of AI to prototype, launch, and scale innovative solutions leveraging large language models, voice AI, retrieval systems, and workflow automation. The ideal candidate combines strong software engineering fundamentals with hands-on AI experience and a passion for solving real-world business challenges.

Applicants must be authorized to work in the United States on a full-time basis without the need for current or future employer sponsorship. This role does not offer visa sponsorship, and temporary work authorization is not eligible.

Location: Remote
Salary: $140,000 - $165,000

Job Responsibilities:

· Design, develop, and deploy AI-powered applications, agents, and automation solutions that improve business processes and customer experiences

· Build and maintain production-grade backend services, APIs, and integrations using Python and modern cloud technologies

· Develop workflow automations that support Sales, Revenue Operations, Customer Support, and other business functions

· Create and optimize data pipelines and integrations across enterprise platforms including Salesforce, Microsoft 365, Freshdesk, and other business systems

· Design and implement retrieval-augmented generation (RAG) architectures, LLM orchestration frameworks, and evaluation methodologies

· Lead the development of AI-powered simulation experiences, including conversational and voice-enabled learning solutions

· Identify opportunities to embed AI capabilities into existing BARBRI products and rapidly deliver high-impact features

· Partner closely with product, engineering, and business stakeholders to understand needs, define solutions, and deliver measurable outcomes

· Enable non-technical teams by providing guidance, training, and best practices for building and maintaining AI agents and automations

· Provide technical leadership on architecture decisions, vendor selection, engineering standards, and future AI platform capabilities as the team grows

Required Qualifications, Capabilities, and Skills:

· Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent practical experience

· 7+ years of experience building and supporting production software, backend systems, data platforms, or AI-driven applications

· Strong proficiency in Python, including experience building APIs, integrations, automation workflows, and backend services

· Hands-on experience working with Large Language Models (LLMs), prompt engineering techniques, and AI application development

· Practical experience implementing retrieval-augmented generation (RAG), vector databases, or information retrieval systems

· Full-stack development capabilities with the ability to independently design, build, test, and deploy solutions

· Experience integrating applications with third-party APIs, enterprise platforms, and cloud-based services

· Strong problem-solving skills and ability to operate effectively in ambiguous, fast-moving environments

· Demonstrated ability to deliver production-ready solutions with a bias toward execution and measurable business results

· Excellent communication skills with the ability to explain technical concepts and tradeoffs to non-technical stakeholders

Preferred Qualifications, Capabilities, and Skills:

· Experience with Microsoft Azure, including Azure OpenAI, App Services, Functions, Cognitive Services, or related cloud services

· Experience working within the Microsoft 365 ecosystem, including Copilot Studio, Microsoft Graph, and AI agent development

· Experience building semantic search, hybrid search, recommendation systems, or advanced retrieval solutions

· Experience with workflow automation platforms such as n8n, Zapier, Power Automate, or similar technologies

· Experience developing voice-enabled applications, including speech-to-text (STT) and text-to-speech (TTS) integrations

· Experience building products in regulated industries, legal technology, edu