Job description

AI Engineer (Application Design & Rapid Deployment) Role Overview As an AI Engineer, you will serve as one of our "Tiger Team" engineers: a highly versatile, full-stack application specialist who designs, builds, and deploys high-impact AI applications from end to end. You excel at taking a vague business problem and turning it into a production-ready AI solution in record time. Leveraging expertise in advanced orchestration frameworks like LangGraph and cutting-edge developer tools like Claude Code, you will act as the primary designer of our user-facing AI applications. Beyond execution, you will play a vital role as an organizational enabler. You will build the evaluation systems necessary to guarantee model performance, integrate AI capabilities into workflows safely and effectively. Key Responsibilities AI Application Design & Rapid Execution • End-to-End Application Design: Serve as designer and builder for new AI applications, mapping out how the user interface, backend logic, and AI agents interact. • Advanced Agentic Workflows: Build complex, stateful, multi-agent systems and cyclic workflows using LangGraph inside and out to handle sophisticated enterprise use cases. • Rapid Prototyping: Utilize full-stack capabilities and AI-assisted development tools (e.g., Claude Code) to build high-fidelity minimum viable products (MVPs) at an accelerated pace. Evaluation & Quality Assurance • LLM Evaluation Tools: Design, build, and maintain automated testing and evaluation frameworks (e.g., Ragas, TruLens, or custom LLM-as-a-judge pipelines) to measure accuracy, latency, hallucinations, and regression across applications. • Framework Stress-Testing: Act as power-user of our internal AI Development Framework, enabling its capabilities in real-world scenarios and providing direct feedback to the core architecture team. Qualifications & Skills Experience • Industry Tenure: 5+ years of professional full-stack software development experience. • AI Engineering Specialization: Proven track record of designing and deploying production-grade LLM applications, with a heavy emphasis on multi-agent architectures. • The "Tiger Team" Mindset: Experience thriving in fast-paced, high-agility environments where requirements evolve rapidly and execution speed is critical. Technical Skills • Orchestration Mastery: Deep, production-level expertise with LangGraph for building stateful, multi-agent workflows, alongside standard libraries. • AI Tooling & Full-Stack Stack: Hands-on mastery of Claude Code for accelerated development, combined with robust backend skills (Python, Node.js) and modern frontend frameworks (React/Next.js). • AI Evaluation & MLOps: Strong understanding of LLM evaluation methodologies, dataset curation for testing, and semantic logging/tracing tools (e.g., LangSmith). • Data Layer: Proficient with vector databases (e.g., Pinecone, Qdrant, Milvus), relational databases, and integrating unstructured data pipelines. • Prompt Engineering: Excellent at prompt engineering best practices and with good linguistic intuition for LLM best performance. Soft Skills & Leadership • Excellent communication and collaboration skills. • Self-driven and eager to mentor and share knowledge. • strong product sense; the ability to balance complex AI logic with intuitive user experiences and immediate business value. • A self-starter who can own an application from a blank text document to a live production URL with minimal supervision. At Internet Brands, we carefully consider a wide range of factors when determining compensation, including your background and experience. These considerations can cause your compensation to vary. We expect the compensation for this role to depend on your skills, qualifications, and experience. We encourage all interested candidates to apply. We expect the compensation for this role starting in the low $100ks. In addition to our awesome culture, we offer a comprehensive benefits package designed to support the health and well-being of you and your family. Our benefits include health insurance options such as medical, dental, and vision coverage, flexible spending accounts (FSA) for medical and dependent care, short-term and long-term disability insurance, and life and AD&D insurance. We also provide a 401(k) retirement savings plan with a company match, paid time off (PTO), paid holidays, commuter benefits as well as access to our Employee Assistance Program (EAP) and well-being coaching services. In addition, employees can take advantage of voluntary benefits such as home, auto and pet insurance, and discounted legal and financial services. For more details, feel free to inquire during the interview process. Internet Brands®, headquartered in El Segundo, Calif, is a fully integrated online media and software services company focused on four high-value vertical categories: Health, Automotive, Legal, and Home/Travel. The company's properties and platforms include the WebMD, Medscape, and Henry Schein ONE networks, which are the global leaders in their markets; Nolo, Avvo, and Martindale, which form the largest consumer information provider in the legal market; and CarsDirect, Fodor's Travel, and many others which are leaders in their key vertical markets. Internet Brands' award-winning consumer websites lead their categories and serve more than 250 million monthly visitors, while a full range of web presence offerings has established deep, long-term relationships with SMB and enterprise clients. The company's powerful, proprietary operating platform provides the flexibility and scalability to fuel the company's continued growth. Internet Brands is a portfolio company of KKR and Warburg Pincus. Internet Brands is an equal opportunity employer, and we welcome applicants from all backgrounds. We comply with all applicable laws and regulations, including the City of Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO). Notice to California residents: you can find information about our privacy practices, on: internetbrands.com

Requirements

Must-haves

AI Engineer (Application Design & Rapid Deployment)
Beyond execution, you will play a vital role as an organizational enabler. You will build the evaluation systems necessary to guarantee model performance, integrate AI capabilities into workflows safely and effectively.
AI Application Design & Rapid Execution
End-to-End Application Design: Serve as designer and builder for new AI applications, mapping out how the user interface, backend logic, and AI agents interact.
Advanced Agentic Workflows: Build complex, stateful, multi-agent systems and cyclic workflows using LangGraph inside and out to handle sophisticated enterprise use cases.
Rapid Prototyping: Utilize full-stack capabilities and AI-assisted development tools (e.g., Claude Code) to build high-fidelity minimum viable products (MVPs) at an accelerated pace.
Evaluation & Quality Assurance
Framework Stress-Testing: Act as power-user of our internal AI Development Framework, enabling its capabilities in real-world scenarios and providing direct feedback to the core architecture team.
Qualifications & Skills
Industry Tenure: 5+ years of professional full-stack software development experience.
AI Engineering Specialization: Proven track record of designing and deploying production-grade LLM applications, with a heavy emphasis on multi-agent architectures.
The "Tiger Team" Mindset: Experience thriving in fast-paced, high-agility environments where requirements evolve rapidly and execution speed is critical.
Technical Skills
Orchestration Mastery: Deep, production-level expertise with LangGraph for building stateful, multi-agent workflows, alongside standard libraries.
AI Tooling & Full-Stack Stack: Hands-on mastery of Claude Code for accelerated development, combined with robust backend skills (Python, Node.js) and modern frontend frameworks (React/Next.js).
AI Evaluation & MLOps: Strong understanding of LLM evaluation methodologies, dataset curation for testing, and semantic logging/tracing tools (e.g., LangSmith).
Data Layer: Proficient with vector databases (e.g., Pinecone, Qdrant, Milvus), relational databases, and integrating unstructured data pipelines.
Prompt Engineering: Excellent at prompt engineering best practices and with good linguistic intuition for LLM best performance.
Soft Skills & Leadership
Excellent communication and collaboration skills.
Self-driven and eager to mentor and share knowledge.
strong product sense; the ability to balance complex AI logic with intuitive user experiences and immediate business value.
A self-starter who can own an application from a blank text document to a live production URL with minimal supervision.
Notice to California residents: you can find information about our privacy practices, on: https://www.internetbrands.com/work-with-us/cpra

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Benefits

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Health Insurance

Dental

Vision

401(K)

Pto

Paid Time Off