AI ML Engineer- Fegmo

<div style="border: 0px solid rgb(229, 229, 229); margin-top: 1rem; padding-left: 1.5rem; padding-right: 1.5rem; color: rgb(10, 10, 10); font-family: Sora, system-ui, sans-serif; font-size: medium; font-variant-ligatures: normal;"><div style="border: 0px solid rgb(229, 229, 229); padding: 1.5rem 1.5rem 0px; color: rgb(10, 10, 10); font-family: Sora, system-ui, sans-serif; font-size: medium; font-variant-ligatures: normal;"><p style="border: 0px solid rgb(229, 229, 229); margin-bottom: 0px; font-size: 16px; line-height: 1.5rem; letter-spacing: -0.3px; color: rgb(12, 12, 12);">About the Role</p></div><div style="border: 0px solid rgb(229, 229, 229); margin-top: 1rem; padding-left: 1.5rem; padding-right: 1.5rem; color: rgb(10, 10, 10); font-family: Sora, system-ui, sans-serif; font-size: medium; font-variant-ligatures: normal;"><p style="border: 0px solid rgb(229, 229, 229); margin-bottom: 0px; white-space: pre-line; padding-bottom: 1.5rem; font-size: 14px; line-height: 24px; letter-spacing: -0.2px; color: rgb(104, 104, 104);">About Client: They are an AI-first agentic platform for commerce, built to eliminate the pain of managing product data and media across channels. Their suite of autonomous AI agents helps brands generate, optimize, validate, and syndicate content — intelligently and at scale. They’re not slapping AI onto a legacy workflow. We’re building an agentic operating system that orchestrates specialized AI agents to handle what once took entire teams — from content creation to A/B testing, validation, and retail channel compliance. What You’ll Do Design and implement AI agents that specialize in: Product description generation Attribute enrichment &amp; completion Taxonomy &amp; smart tagging Channel-specific validations (Amazon, Shopify, Walmart) Persona-based content generation and localization Work with LLMs (OpenAI, Claude, Gemini, etc.) via API to implement natural language agents with composable memory and action workflows. Use multimodal models for image tagging, lifestyle image generation, and video optimization (e.g., Stability AI, DALL·E, Firefly). Implement feedback loops from performance data (clicks, conversions, A/B tests) to refine models. Work closely with our full stack team to integrate AI features into real-time user experiences. Prototype, test, and iterate fast — bring creative ideas and experiment with model combinations, prompt engineering, and fine-tuning strategies. What We’re Looking For 3+ years working in ML/AI with demonstrable experience in: Natural Language Processing (NLP) Prompt engineering or LLM integration Computer Vision or multim</p></div></div>