Principal Applied AI / ML Engineer
Core
Shape company-level AI strategy and drive hands-on deployment of cutting-edge AI systems (LLMs, agents) to empower independent retailers with data-driven insights.
Role type
Principal Applied AI / ML Engineer (Company-level technical thought leader)
Builds
AI-ready infrastructure (feature stores, model serving), production-grade LLM/agent systems, and scalable data pipelines for retail analytics
Domain
Retail technology / Wholesale marketplace / Generative AI
Deliverable
production ML models | product features | infrastructure
Required skills
LLM fine-tuning, RLHF, RAG, embeddings, agent frameworks, large-scale data pipelines, distributed training, model serving, PyTorch/TensorFlow/JAX, systems architecture
Preferred skills
Open-source contributions, peer-reviewed publications, two-sided marketplace experience
Technologies
LLMs, agent frameworks, Triton, feature stores, data warehouses, event logging
Responsibilities
Define company-wide AI vision and product strategy; prototype and deploy zero-to-one AI systems; architect scalable AI infrastructure; establish safety and evaluation frameworks; mentor engineering teams; evangelize AI best practices
Seniority
Principal, strategy & mentorship