Senior Software Engineer - AI Data Systems (Remote)

Snorkel AI; United States; Remote; USD 208,000 - 315,000; Full time

Job summary

Snorkel AI is a frontier AI data lab building datasets, benchmarks, evals, and custom AI solutions. We seek a Senior Software Engineer to design and run large-scale AI/ML systems and services, including distributed compute, data management, and end-user experiences.

You will work with cross-functional teams to deliver production-grade tooling for RAG-enabled workflows, and to push the frontier of model evaluation and agent orchestration.

Qualifications

• 4 years developing software using Java & Typescript with relational databases for scalability, reliability and performance.
• 4 years building and optimizing large-scale distributed systems or compute frameworks for data processing.
• 3 years delivering AI/ML systems in production for cloud-native apps (RAG, MCP).
• 3 years designing data storage, compute & retrieval systems for AI/ML apps.
• 3 years improving LLM apps via evaluation frameworks, prompt engineering and agent orchestration.
• 3 years leading or owning delivery of large multi-person engineering projects from design to deployment.

Responsibilities

• Own architecture, design, development, and operations of large-scale systems for AI/ML tasks including distributed compute and data management.
• Prototype, optimize, and maintain scalable back-end services powering new tools for foundation model development.
• Design extensible interfaces between internal services and storage/data models.
• Collaborate in customer-focused cross-functional environment to drive impact across product and company.

Skills

Java

Typescript

Relational DBs

Distributed systems

AI/ML systems

RAG

MCP

Data storage

LLM evaluation

Team leadership

Education

Bachelor's degree in Computer Science

Job description

Snorkel AI is a frontier AI data lab building datasets, benchmarks, evals, and custom AI solutions. We seek a Senior Software Engineer to design and run large-scale AI/ML systems and services, including distributed compute, data management, and end-user experiences.

You will work with cross-functional teams to deliver production-grade tooling for RAG-enabled workflows, and to push the frontier of model evaluation and agent orchestration.