Senior AI Engineer, Enterprise

What you'll do

• Design and build scalable backend services, distributed systems, APIs, and orchestration services for AI products.
• Develop reusable AI platform components and improve CI/CD, testing, deployment, observability, and developer experience.
• Build and optimize secure, reliable, performant AI applications in collaboration with product and GTM teams.

What they ask for

• 5+ years of professional software engineering experience and a Bachelor's degree or higher in a related technical field.
• Strong proficiency in Python (3.11+) and experience building RESTful APIs and backend services using FastAPI or similar.
• Experience designing and operating distributed systems and microservice architectures, plus containerization technologies such as Docker.
• Hands-on experience building production AI applications using large language models, including prompt engineering, tool calling, structured outputs, and LLM orchestration frameworks.

Nice to have

• Experience with Snowflake technologies, such as Snowpark, Cortex AI, Snowpark Container Services, Snowflake Connector, or Snowflake CLI.
• Experience with agent frameworks such as LangGraph, AI evaluation and monitoring, model serving, or cloud-native infrastructure.

Tools

Python (3.11+), FastAPI, Docker, Snowflake Cortex, Snowpark, LangGraph, Streamlit, React

AI focus

Build production AI and agentic applications, internal AI platform components, and AI capabilities; work with LLMs, orchestration, evaluation, and monitoring.