The Role
Lead the research, architecture, and implementation of generative AI and agentic AI capabilities across software products. Build prototypes and production integrations using LLMs, RAG, prompt and context engineering, and multi-agent orchestration. Provide technical leadership, mentor engineers, guide AI adoption in development workflows, evaluate emerging models and tools, and establish scalable, secure, and reliable AI engineering practices.
Summary Generated by Built In
About the Company:
Headquartered in El Segundo, Calif., Internet Brands® is a fully integrated online media and software services organization focused on four high-value vertical categories: Health, Automotive, Legal, and Home/Travel. The company's 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. Internet Brands' 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 Temasek.
WebMD Health Corp., an Internet Brands Company, is the leading provider of health information services, serving patients, physicians, health care professionals, employers, and health plans through our public and private online portals, mobile platforms, and health-focused publications. The WebMD Health Network includes WebMD Health, Medscape, Jobson Healthcare Information, prIME Oncology, MediQuality, Frontline, QxMD, Vitals Consumer Services, MedicineNet, eMedicineHealth, RxList, OnHealth, Medscape Education, and other owned WebMD sites. WebMD®, Medscape®, CME Circle®, Medpulse®, eMedicine®, MedicineNet®, theheart.org®, and RxList® are among the trademarks of WebMD Health Corp. or its subsidiaries.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status
For Company details, visit our website: www.webmd.com / www.internetbrands.com
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status
For Company details, visit our website: www.webmd.com / www.internetbrands.com
Experience: 10+years
Overview
We are looking for a Full-Stack GenAI Architect to lead the exploration and integration of Large Language Models (LLMs) and modern AI techniques across our software products. You’ll serve as both a hands-on engineer and thought leader, helping define our AI strategy, drive R&D initiatives, and accelerate the adoption of AI across product lines.
This is a unique opportunity to shape how AI transforms real-world software — from developer workflows and automation to end-user product experiences.
Roles and Responsibilities
- Research & Experimentation:
- Continuously evaluate emerging AI models (OpenAI GPT, Anthropic Claude, Google Gemini, Qwen, GLM), agent frameworks (Google ADK, LangGraph), and tools (Vector DBs, Agent Observability, Prompt Optimization, Agent Evaluations, Agent Memory) to identify practical opportunities for innovation.
- Architecture & Implementation:
- Design and implement scalable Agentic AI integrations within existing business processes and software, ensuring reliability, performance, and data privacy.
- Prototyping & R&D:
- Build proof-of-concepts and pilot features to validate new approaches — from prompt engineering and fine-tuning to multi-agent orchestration.
- Technical Leadership:
- Mentor engineers across the organization on AI utilization best practices, lead architecture reviews, and contribute to shared internal libraries and model-integration frameworks.
- Industry Awareness & Advocacy:
- Track and evaluate industry trends, tools, and research; represent the company’s AI engineering direction through internal knowledge-sharing and occasional external engagement.
AI-Powered Development:
Proven ability to effectively leverage AI tools (ChatGPT, GitHub Copilot, Amazon Q) to accelerate coding, perform automated code reviews, generate documentation, and explore design alternatives.AI Mentorship & Driving Adoption:Experience in mentoring engineering teams to integrate AI assistants into their daily development workflows to increase velocity and code quality.
Requirements
- 10+ years in software engineering with deep technical fluency in the development, design and architecture of modern full-stack web applications. Strong foundation to support the full stack, including front-end, back-end, databases (relational and NoSQL), API design, microservices, caching, performance tuning, security best practices, and common software design patterns.
- 1+ years hands-on experience working with frontier LLMs and building AI agents.
- Demonstrated technical leadership and mentorship across an engineering department, with strong strategic thinking and problem-solving.
- Strong proficiency in Python, TypeScript, or similar, with experience integrating model APIs and building AI-enabled features.
- Working knowledge of AI Agent architecture, AI Agent patterns, prompt engineering, context engineering and RAG.
- Familiarity with AI-enhanced developer workflows and Agentic AI IDEs (e.g. Cursor, Cline, Replit), for code generation, documentation assistants, or autonomous agents.
- A passion for continuous learning, experimentation, and bringing emerging AI concepts into production environments.
- Excellent communication skills and the ability to influence cross-functional teams through clear technical reasoning and vision.
Bonus
- Experience with Google ADK, Langgraph and Langfuse (or similar technologies).
- Integration with open source models, and fine tuning of those open source models.
- Production deployment of multi-agent orchestration.
Skills Required
- 10+ years of software engineering experience
- Deep technical fluency in modern full-stack web application development, design, and architecture
- Experience with front-end, back-end, relational and NoSQL databases, API design, microservices, caching, performance tuning, security best practices, and software design patterns
- At least 1 year of hands-on experience with frontier LLMs and AI agents
- Technical leadership and mentorship experience across an engineering department
- Strong strategic thinking and problem-solving skills
- Strong proficiency in Python, TypeScript, or similar programming languages
- Experience integrating model APIs and building AI-enabled features
- Working knowledge of AI agent architecture and patterns, prompt engineering, context engineering, and RAG
- Familiarity with AI-enhanced developer workflows and agentic AI IDEs such as Cursor, Cline, or Replit
- Passion for continuous learning, experimentation, and bringing emerging AI concepts into production
- Excellent communication skills and ability to influence cross-functional teams
- Experience with Google ADK, LangGraph, Langfuse, or similar technologies
- Experience integrating and fine-tuning open-source models
- Production deployment experience with multi-agent orchestration
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The Company
What We Do
Our Company: WebMD is a leading provider of health information services to consumers, physicians, healthcare professionals, employers and health plans. Our Business: WebMD is the leading provider of health information and services to consumers and healthcare professionals. The online healthcare information, decision-support applications and communications services that we provide: help consumers take an active role in managing their health by providing objective healthcare information and lifestyle information. make it easier for physicians and healthcare professionals to access clinical reference sources, stay abreast of the latest clinical information, learn about new treatment options, earn continuing medical education credits and communicate with peers. enable employers and health plans to provide their employees and plan members with access to personalized heath and benefit information and decision support technology that helps them make informed benefit, provider and treatment choices.
