AI Infra Engineer for Agentic Workflows & Scale

Snowflake; Menlo Park (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Snowflake is seeking a skilled engineer to develop high-performance systems for agentic AI orchestration. The role requires building scalable engines for complex workflows while collaborating with teams to turn advanced AI capabilities into production services.

Ideal candidates will have at least 4 years of experience in distributed systems, excellent skills in Python and Go or Java, and a Bachelor's degree in Computer Science or a related field (Masters/PhD preferred).

Qualifications

• 4+ years experience designing and supporting distributed systems.
• Deep proficiency in Python and strong experience with Go/Java.
• Strong understanding of database internals and CI/CD pipelines.

Responsibilities

• Help build and scale orchestration engines for agentic workflows.
• Develop systems for Retrieval-Augmented Generation.
• Collaborate on turning LLM capabilities into microservices.

Skills

Python

Go

Java

C++

Database Internals

Distributed State Management

Cloud-Native Architecture

CI/CD Pipelines

AI Orchestration

Machine Learning Platforms

Education

Bachelor's degree in Computer Science or related field

Masters or PhD (preferred)

Job description

Snowflake is seeking a skilled engineer to develop high-performance systems for agentic AI orchestration. The role requires building scalable engines for complex workflows while collaborating with teams to turn advanced AI capabilities into production services.

Ideal candidates will have at least 4 years of experience in distributed systems, excellent skills in Python and Go or Java, and a Bachelor's degree in Computer Science or a related field (Masters/PhD preferred).