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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Internet Brands, Inc. - **Location:** Newark, NJ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Automation of Tests, Relational Databases, Programming Tools, Human-Computer Interaction, Python (Programming Language), Node.Js, Rapid Prototyping Process, Next.js, Software Engineering, Unstructured Data, Web Application Frameworks, Data Logging, ReactJS, Large Language Models, Multi-Agent Systems, Prompt Engineering, Backend, Data Layers, Kubernetes, Low Latency, Machine Learning Operations - **Published:** September 10, 2026 - **Apply:** https://jobs.jobvite.com/internetbrands/job/oh8UyfwB/apply ## About the Role * 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. ## Description 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. ## Related Videos - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Stop using Node.js like in 2020! What changed and what you can do today with Node.js](https://www.wearedevelopers.com/videos/100011-stop-using-node-js-like-in-2020-what-changed-and-what-you-can-do-today-with-node-js) - [GraphQL + Apollo + Next.js: A Lovely Trio](https://www.wearedevelopers.com/videos/311-graphql-apollo-next-js-a-lovely-trio) - [The AI-Native Engineering Org: What’s Real, What’s Hype, What’s Next](https://www.wearedevelopers.com/videos/100004-the-ai-native-engineering-org-what-s-real-what-s-hype-what-s-next) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [AI Driven Development](https://www.wearedevelopers.com/videos/100340-ai-driven-development) ## Related Articles - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [ I Gave a Video Editor More Autonomy Than a Trading Bot. On Purpose.](https://www.wearedevelopers.com/magazine/773-i-gave-a-video-editor-more-autonomy-than-a-trading-bot-on-purpose) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)