Senior AI Engineer
Core
Design, build, and scale AI infrastructure and tooling to empower data scientists and product teams to deliver AI-first products for retail logistics and customer experiences.
Role type
Senior AI Platform Engineer
Builds
Internal AI tooling, libraries, LLM gateway integrations, agent frameworks, and scalable model-serving infrastructure.
Domain
Retail logistics, AI infrastructure, Large Language Models (LLMs)
Deliverable
production ML models | infrastructure
Required skills
Python, AI/ML ecosystem tools, infrastructure development, observability (MLflow, Weights & Biases), data science workflow, cloud environments (AWS/GCP/Azure), containerization (Docker/Kubernetes)
Preferred skills
MCP servers/clients, PydanticAI, LangGraph, LiteLLM
Technologies
Python, MCP, PydanticAI, LangGraph, LiteLLM, MLflow, Weights & Biases, AWS, GCP, Azure, Docker, Kubernetes
Responsibilities
Develop internal tooling and libraries using AI frameworks; create integrations with LLM gateways and agent frameworks; design scalable infrastructure for large-scale data processing and model serving; partner with engineers and data scientists to deliver AI capabilities.
Seniority
Senior, hands-on IC
