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

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