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AI Engineer

Job in Los Angeles, Los Angeles County, California, 90079, USA
Listing for: eCommerce Placement
Full Time position
Listed on 2026-06-24
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Software Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

We are seeking an innovative, adaptable, and forward-thinking AI Engineer to join our team. This role is designed for a modern software builder who excels at leveraging LLMs, agentic workflows, and AI coding assistants (like Cursor, Git Hub Copilot, and custom prompts) to manifest complex features rapidly. You aren't just writing syntax from scratch; you are directing AI to architect, generate, and debug clean code, allowing us to move at supersonic speeds.

What You Bring:
  • 1–3 years of experience in software engineering or a highly technical web development role.
  • Deep familiarity and mastery of AI coding tools (e.g., Cursor, Copilot, ChatGPT, Claude) with a proven ability to deploy functional code efficiently.
  • Familiarity or experience with agentic commerce, autonomous AI agents, or LLM orchestration frameworks (e.g., Lang Chain, CrewAI, AutoGPT) is a massive plus.
  • An experimental mindset. You love trying new tech, pushing boundaries, and figuring out how to build things faster and better.
  • Strong problem-solving skills and a meticulous eye for debugging and code optimization.
What You’ll Do:
  • AI-Assisted Development: Utilize cutting-edge AI coding tools, custom prompts, and LLMs to write, refactor, and deploy high-quality software features.
  • Rapid Prototyping: Turn product ideas and wireframes into working code, proof-of-concepts, and production-ready applications in a fraction of traditional development times.
  • Agentic Frameworks: Help design, implement, and experiment with autonomous AI agents that can handle merchant tasks, customer service workflows, or internal data operations.
  • Code Review & Quality Assurance: Review, debug, and optimize AI-generated code to ensure security, scalability, performance, and alignment with modern coding standards.
  • Continuous Learning: Stay on the absolute bleeding edge of developer tools, AI agents, and LLM advancements, integrating them into our workflow.
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