Engineering Manager - Edge AI

About This RoleAI processing…

Key Responsibilities

• 1
  Lead the day-to-day execution of the Edge AI team, translating long-term product vision into clear sprint roadmaps and measurable delivery milestones
• 2
  Own the migration of our AI assistant to an autonomous agentic setup, maintaining performance while expanding AI support across all merchant-facing channels
• 3
  Set the technical direction for LLM-powered system design, making clear tradeoffs across quality, latency, and cost
• 4
  Build a data-informed engineering culture by defining performance metrics, tracking delivery velocity, and using insights to continuously improve team health and throughput
• 5
  Hire, mentor, and develop a team of engineers and ML specialists — including interns — creating an environment where people grow and do their best work

Requirements

• Strong hands-on background in ML/AI engineering or data science, with experience leading a team delivering production AI products
• Deep technical knowledge of LLM-powered system design, including RAG, embeddings, tool/function calling, and orchestration frameworks such as LangChain or LlamaIndex
• Proficiency in Python and core AI/ML libraries, including PyTorch and HuggingFace Transformers, with solid LLMOps/MLOps and CI/CD practices
• Proven track record of launching AI features end-to-end in production — from problem framing and prototyping through to reliable, measurable delivery
• Ability to lead with clarity, empathy, and accountability — building inclusive, high-performing teams while navigating ambiguity and managing stakeholders across technical and non-technical domains

Perks & Benefits