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.

• 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.
• Comprehensive health, dental, vision, and life insurance coverage.
• 401(k) retirement plan with employer contributions.
• Generous paid time off, including vacation, sick leave, volunteer days, and personal time.
• Flexible work arrangements and fully remote working options.
• Wellness initiatives, fitness benefits, and employee well-being programs.
• Extensive learning and professional development opportunities, including access to educational resources and training programs.
• Career advancement opportunities through mentorship, ongoing coaching, and internal mobility initiatives.
• Employee Assistance Program providing confidential counseling, legal support, and additional resources.
• Inclusive, collaborative, and innovation-focused work environment with opportunities to shape the future of AI-powered education.