AI Application Engineer (Full Stack)

Who We Are o5 group is an industry leader in global fashion & apparel design with 40+ years of success across wholesale, e-comm, and marketplace. We are privately held, HQ in NYC with brand offices in CA - a dynamic portfolio of global brands committed to operational excellence in design, product development, production, sourcing, distribution & logistics. With category expertise in full-collection menswear, womenswear, childrenswear, infant toddler; we specialize in denim, outerwear, activewear, loungewear/sleepwear, trusted by top retailers. About the Role We’re looking for a curious, broad-based AI Application Engineer (Full Stack) to help shape how AI and machine learning can create leverage across a modern apparel business. This role sits within o5 group’s Technology & Innovation team and will partner closely with the Chief AI and Data Officer and cross-functional product teams. This is a high-ownership opportunity for someone who is energized by ambiguity, enjoys solving open-ended problems, and wants to help define the roadmap—not just execute against it. You’ll contribute to early-stage exploration and practical implementation across demand forecasting, personalization, supply chain, customer experience, and internal productivity tools. How You’ll Contribute • Explore where machine learning and AI can create the most impact across the business, then help translate those opportunities into practical use cases and prototypes. • Build and iterate on demand forecasting and inventory planning models that help reduce overproduction and stockouts. • Support personalization and recommendation initiatives across the e-commerce experience. • Develop or integrate LLM-powered tools for internal workflows, including product copy, search, customer support automation, and operational productivity. • Contribute to computer vision and visual search opportunities tied to product imagery, fit, and customer experience. • Help design AI agents and workflow automations that streamline repetitive processes across the organization. • Create and maintain data pipelines and foundational infrastructure needed to support ML / AI experimentation and deployment. • Partner cross-functionally to test ideas quickly, evaluate outcomes, and refine solutions based on business value. What You Bring to the Team Required • Bachelor’s degree in computer science, data science, mathematics, or a related technical field, or equivalent practical experience. • 1–3 years of professional or research experience in ML, AI engineering, or data science; coursework, bootcamp work, and independent projects may be considered alongside professional experience. • Strong Python and SQL skills. • Experience with traditional ML approaches such as scikit-learn and XGBoost. • Hands-on experience with model training, evaluation, and tuning. • Working knowledge of at least one cloud platform (Azure, AWS, or GCP). • Git / version control proficiency. • Strong grounding in statistics and probability fundamentals. Strong Plus • LLM integration experience using platforms such as OpenAI or Anthropic. • RAG pipelines and familiarity with LangChain or LlamaIndex. • Vector databases such as Pinecone, FAISS, or Chroma. • AI agents and tool use. • PyTorch or TensorFlow. • REST API development using FastAPI or Flask. • Docker and experiment tracking tools such as MLflow or Weights & Biases. Nice to Have • Fine-tuning approaches such as LoRA / QLoRA. • Computer vision, NLP / text classification, time-series forecasting, or recommendation systems. • Prompt engineering, Kubernetes, and Hugging Face Transformers. • Retail / e-commerce domain knowledge. You’ll be especially successful in this role if you are • Comfortable with ambiguity and able to help define the work—not just wait for a fully scoped ticket. • Broadly curious across ML and AI, with the judgment to choose the right tool for the problem. • A builder who cares about shipping practical solutions, not just optimizing offline metrics. • A clear communicator who can translate technical concepts for cross-functional business teams. • Able to show what you’ve built through projects, coursework, internships, or prior hands-on work. Why Join o5 group • Health Benefits Medical, Dental, and Vision coverage. • 401(k) + company-paid life insurance. • Paid Time Off (PTO) + company holidays. • Commuter benefits. • Hybrid/flexible schedule. • Family-oriented culture. • Responsibility & Sustainability — at o5 group this spans economic, social, and environment Apply tot his job Apply To this Job