Lead AI Engineer - Legal EdTech

**This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead AI Engineer - Legal EdTech based in the United States.** This is an exciting opportunity for an experienced AI engineer to shape the future of professional education through cutting-edge artificial intelligence solutions. In this highly visible role, you will design and deploy intelligent applications, workflow automations, and AI-powered learning experiences that deliver measurable business impact. Working closely with senior leadership and cross-functional teams, you will help embed large language models, voice technologies, and advanced retrieval systems into products and operations. The position offers the chance to work in a fast-moving, innovation-driven environment where experimentation, technical leadership, and rapid execution are highly valued. If you are passionate about building production-grade AI systems that transform how people learn and work, this role offers both scale and meaningful impact. ### Accountabilities: - Design, build, and deploy AI-powered applications, intelligent agents, and automation solutions to enhance products and business operations. - Develop and maintain scalable backend services, APIs, integrations, and cloud-based systems using Python and modern engineering practices. - Implement retrieval-augmented generation (RAG) architectures, LLM orchestration frameworks, vector search solutions, and AI evaluation methodologies. - Lead the creation of AI-driven simulation experiences, including conversational and voice-enabled learning applications. - Identify opportunities to integrate AI capabilities into existing products and rapidly deliver high-impact features. - Build and optimize data pipelines and integrations across enterprise platforms, business applications, and third-party services. - Collaborate closely with product, engineering, and business stakeholders to define requirements and translate ideas into scalable solutions. - Provide technical leadership on architecture decisions, engineering standards, AI platform strategy, and vendor evaluations. - Support and enable non-technical teams by promoting best practices, training, and guidance around AI tools and automation capabilities. ## Requirements - Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent practical experience. - Minimum of 7 years of experience building production software, backend systems, data platforms, or AI-driven applications. - Strong proficiency in Python, including experience developing APIs, integrations, automation workflows, and scalable backend services. - Hands-on experience with Large Language Models (LLMs), prompt engineering, AI agents, and production AI application development. - Practical expertise implementing RAG architectures, vector databases, semantic search, or advanced information retrieval systems. - Full-stack engineering capabilities with the ability to independently design, develop, test, and deploy solutions. - Experience integrating enterprise platforms, cloud services, and third-party APIs. - Familiarity with cloud ecosystems such as Microsoft Azure, including AI and cognitive services, is highly desirable. - Experience with workflow automation platforms such as Zapier, Power Automate, n8n, or similar tools is considered an asset. - Exposure to voice AI technologies, including speech-to-text and text-to-speech solutions, is preferred. - Experience working within regulated industries, education technology, legal technology, or startup environments is advantageous. - Excellent problem-solving, communication, and stakeholder management skills, with the ability to explain technical concepts to non-technical audiences. - Must be authorized to work in the United States without current or future employer sponsorship. ## Benefits - Competitive annual salary ranging from **$140,000 to $165,000**. - Comprehe…