Lead AI Engineer - Legal EdTech - REMOTE

Posted 21d ago

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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

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

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, education technology, or startup environments

Skills