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Senior Full Stack AI Engineer

Internet Brands

$100,000 - $130,000
Dec 19, 2025
Newark, NJ, US
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Internet Brands is looking for a skilled Senior Software Engineer with a strong background in Generative AI, Agentic AI, and applied software engineering to build agentic AI systems, design prompt-driven workflows, integrate tools with LLMs, and mentor the team on the latest advancements in AI technologies.

Requirements

  • Strong programming fundamentals (OOP, security, performance)
  • Experience building scalable and modular systems using modern frameworks and tools
  • Proficiency with LLMs, OpenAI/Anthropic APIs, LangChain or similar
  • 6+ years of experience in full stack development
  • Strong experience with API design and service-oriented architectures
  • Backend development in one or more modern languages (e.g., Python, Java, PHP, TypeScript or similar)
  • Familiarity with agent frameworks like LangChain, Google ADK, and Claude Agent SDK

Responsibilities

  • Architect and build AI-powered tools using LLMs (e.g., OpenAI, Claude, Mistral, etc.) using best practices in prompt engineering and context engineering.
  • Integrate and customize AI agents using frameworks like LangChain, Google ADK, Claude Agent SDK or custom solutions.
  • Utilize observability and evaluation tools, such as Langfuse.
  • Collaborate with product and research teams to translate requirements into prompt workflows and agent behaviors.
  • Design and implement scalable systems and infrastructure to support AI agents and workflows, using suitable tools and technologies.
  • Design advanced, multi-agent workflows that incorporate memory, dynamic context injection, and multi-step reasoning.
  • Experiment with and optimize agentic architectures for real-world tasks (retrieval, generation, summarization, etc.)

Other

  • Excellent communication and collaboration skills
  • Self-driven and eager to mentor and share knowledge
  • Willingness and ability to quickly learn and adapt to new technologies, frameworks, and tools as needed
  • Open to working across the stack to support the development of AI-powered solutions
  • Comfortable stepping beyond core skill sets to contribute wherever needed in the AI application lifecycle