Summary: Seeking an experienced AI Engineer to own high-impact AI features from concept to production, with direct influence on product direction and long-term AI strategy. Highlights: 1. Own high-impact AI features from concept to production 2. Direct influence on product direction and AI strategy 3. Build, deploy, and optimize AI agents and LLMs Seeking an experienced **AI Engineer** who can take ownership of high\-impact AI features from concept to production. This is a hands\-on role with direct influence on product direction, architecture, and long\-term AI strategy. **What You’ll Do** * Build, deploy, and optimize **AI agents** that improve platform functionality and automation. * Fine\-tune and adapt **large language models (LLMs)** for specific workflows and customer use cases. * Design and implement **ML models** for content quality scoring, style evaluation, and workflow optimization. * Partner with product and engineering leadership to propose and prioritize AI\-driven enhancements. * Establish best practices for AI/ML development, testing, reliability, and security. * Contribute to the long\-term technical roadmap and evolution of AI capabilities. **What is needed** * Bachelor’s or Master’s degree in Computer Science, Engineering, or related fields. * **5\+ years** building production\-grade systems in AI, ML, or applied machine learning. * **2\+ years working with LLM\-powered applications** (prompting, fine\-tuning, evaluating, or deploying). * Strong proficiency with **Python** (required) and **TypeScript** (preferred). * Solid knowledge of **NLP techniques**, embeddings, vector search, and evaluation frameworks. * Experience building, consuming, and maintaining **REST APIs**. * Ability to work independently, own projects end\-to\-end, and collaborate in a small, fast\-moving team. * Strong communication skills and a proactive approach to problem\-solving. * Experience using AI tools to accelerate software engineering productivity. **Nice\-to\-Have Skills** * Experience with **Google Cloud** or other major cloud environments. * Familiarity with data pipeline development or basic data engineering. * Knowledge of modern AI frameworks (LangChain, Transformers, RAG systems, vector databases). **Work Hours \& Logistics** * Full\-time, 100% remote role. * Required availability between **9 AM–3 PM PST** (team syncs, customer calls, project reviews). * Outside these hours, structure the rest of your day in the way that keeps you most productive. **Important: Who This Role Is** ***Not*** **For** To ensure alignment, this role is **not open to candidates currently working in consulting firms or consulting agencies, or outsourcing environments**. We’re looking for engineers who have built and supported **in\-house, product\-focused AI systems** and want to own long\-term product development—not short\-term client engagements. Job Type: Full\-time Pay: From $70,000\.00 per month Application Question(s): * How many years of experience do you have building production\-grade systems in AI, ML, or applied machine learning? State which. * Do you have Generative AI experience? If so, state how many years: * Are you comfortable working PST hours? Education: * Bachelor's (Preferred) Language: * English (Required) Work Location: Remote