Lead Applied AI Engineer - Legal EdTech

BARBRI • Dallas, TX

1d • Remote

About The Position

BARBRI has helped over 1.3 million law students pass the bar exam. Now we're embarking on our AI transformation journey. If you want to combine cutting-edge AI with a domain that matters, let's talk.
BARBRI is a legal education company with 58 years of legal credibility. For years BARBRI has been changing the lives of pre-law students, law students and lawyers on how they develop new skills.
Now, with the AI revolution, BARBRI is at a critical juncture. We must simultaneously adapt to new demands of learns from edTech products, break into a rapidly evolving Professional Education market and transform ourselves into an AI-native organization.
This is a senior IC role where you'll ship real systems: AI-powered simulations for legal training, workflow automations that move EBITDA, and AI features embedded into existing products. You'll work closely with the Head of AI, with hands-on coaching as you develop deeper AI/ML expertise. If this works, you'll help shape the team as it grows.
High autonomy. High visibility. Real impact on the product and the business.
First 90 days
Build and deploy workflow automations (n8n, MS Copilot agents) that solve real problems in Sales, RevOps, and Support
Stand up data pipelines and integrations across our stack (Salesforce, Freshdesk, MS365 Cpilot)
Get hands-on with LLM APIs - prompt engineering, RAG basics, evaluation frameworks
Rapidly prototype and test working solutions (LLM agents, workflow automations, microapps, embedded tools, etc.)
Beyond 90 days
Own our simulation product — voice AI, LLM orchestration, context management
Launch AI features into existing BARBRI products — identify high-value integration points and ship them
Enable non-technical teams to build their own AI agents and automations — act as the expert they can lean on
Architect system integrations across our tooling ecosystem
As the team grows, provide technical direction — own architecture decisions, mentor new engineers, manage vendors
Build RAG pipelines, multi-agent orchestration, and real-world task integration.
Support and improve existing Knowledge Retrieval (search, recommendations, course assistant) projects
Projects
AI Simulation Engine: Conversational AI that helps lawyers practice soft skill — (currently in customer discovery)
Workflow Agents: AI-powered automations for Sales, RevOps, and Support that move EBITDA
Product AI: Embedding AI capabilities into existing BARBRI learning products

Requirements

• Strong Python skills — data processing, API integrations, backend services
• 5+ years building production backend or data engineering systems
• Hands-on LLM experience: RAG architectures, prompt engineering, evaluation frameworks
• Full-stack capability: You can build the API, connect the frontend, and deploy it yourself
• Bias toward shipping: You optimize for "working in production" over "theoretically optimal"
• Comfort with ambiguity: you can take direction early and grow into ownership

Nice To Haves

• Azure fluency: You know your way around Azure infrastructure—App Services, Functions, Cognitive Services, or OpenAI deployments
• Search/retrieval experience: You've built semantic search, hybrid search, or information retrieval systems
• MS365 ecosystem experience (Copilot Studio, Graph API, Azure OpenAI)
• Workflow automation platforms (n8n, Zapier, or similar)
• Voice/speech AI experience (STT/TTS integration, latency optimization)
• Legal domain knowledge or experience building for regulated industries
• Experience at early-stage startups or building 0-to-1 products
• Node.js/TypeScript for backend services

Responsibilities

• Own our simulation product — voice AI, LLM orchestration, context management
• Launch AI features into existing BARBRI products — identify high-value integration points and ship them
• Enable non-technical teams to build their own AI agents and automations — act as the expert they can lean on
• Architect system integrations across our tooling ecosystem
• As the team grows, provide technical direction — own architecture decisions, mentor new engineers, manage vendors
• Build RAG pipelines, multi-agent orchestration, and real-world task integration.
• Support and improve existing Knowledge Retrieval (search, recommendations, course assistant) projects

Benefits

• Competitive Benefits: Health, dental, vision, and life insurance plans to keep you and your loved ones covered. Plus, a healthy contribution to your 401(k) retirement savings.
• Work-Life Harmony: We prioritize a healthy balance. Enjoy generous paid time off, including vacation, sick leave, volunteer and other "personal" days, to recharge and explore your interests.
• Wellness Programs: Stay healthy and happy with an on-site fitness facility in our HQ, discounts on gym memberships, and wellness initiatives to support your physical and mental well-being.
• Continuous Learning Opportunities: As an education company, we believe in the power of learning. Access our extensive library of educational resources, courses, and workshops to enhance your skills and knowledge in both professional and personal development areas.
• Flexible Work Arrangements: We understand the importance of work-life balance. Enjoy flexible work hours and remote work options, allowing you to manage your schedule and responsibilities effectively.
• Opportunities for Growth and Advancement: We're committed to helping you reach your full potential. Benefit from opportunities for career growth and advancement through mentorship programs, volunteer opportunities, performance evaluations, and ongoing feedback/coaching sessions.
• Employee Assistance Program: Life can be unpredictable, and we're here to support you through challenging times. Access our employee assistance program for confidential counseling, legal assistance, and other support services.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed