Senior AI Engineer

About the role

Internet Brands is looking for a Senior Fullstack Engineer to join our Agentic AI team. You'll help build our AI capabilities from the ground up, designing and shipping tools, services, and intelligent agents that power AI experiences across our entire product ecosystem.

Responsibilities

• Build and ship full-stack AI applications: Create frontend experiences and backend systems that power real AI capabilities, iterating based on performance and user feedback
• Own the full lifecycle: Take projects from idea through production deployment, ensuring quality, reliability, and scalability
• Build foundational infrastructure: Develop search/retrieval services, tool execution layers (MCP servers), workflows, and intelligent agents
• Establish measurement systems: Create feedback loops and performance tracking to continuously improve AI system behavior
• Solve complex problems: Debug issues across the stack, identify root causes, and implement robust solutions

Requirements

• 5+ years shipping production code (frontend and backend)
• Strong programming fundamentals: primarily JavaScript, Python and PHP, but value problem-solving skills over specific language expertise
• Backend development experience: Building workflows, APIs, state management, and async systems
• Database knowledge: Working with both SQL and NoSQL databases
• Frontend skills: Building responsive interfaces with modern frameworks (React, Vue, Angular, Svelte, etc.)
• Experience applying AI/ML in production: You've worked with LLMs or ML models in real applications, not just tutorials

Qualifications

• Ownership mindset: You identify problems, take initiative, and see things through
• Pragmatic and adaptable: You choose the right tool for the job and aren't afraid to learn new technologies
• Systematic problem-solver: You can debug complex systems and think through tradeoffs

Skills

• Knowledge of AI evaluation, error analysis, and building feedback loops
• Experience with agentic frameworks (LangGraph, Google ADK) or Model Context Protocol (MCP)
• Background in information retrieval or search systems

Pay

Expected compensation for this role is in the low $100ks.

Benefits

• Health insurance options: medical, dental, and vision coverage
• Flexible spending accounts (FSA) for medical and dependent care
• Short-term and long-term disability insurance
• Life and AD&D insurance
• 401(k) retirement savings plan with company match
• Paid time off (PTO) and paid holidays
• Commuter benefits
• Employee Assistance Program (EAP) and well-being coaching services
• Voluntary benefits: home, auto and pet insurance, discounted legal and financial services