Senior Software Engineer
Snorkel AI8 hours ago
Base Salary
$208k - $315k/yr
Responsibilities
- Own the architecture, design, development, and operations of large-scale AI/ML systems.
- Build and optimize distributed compute systems and data-processing frameworks.
- Design and maintain data management, storage, compute, retrieval, and workflow systems for AI/ML applications.
- Launch and operate agents for long-running reasoning and verification tasks.
- Prototype, optimize, and maintain scalable backend services for foundation-model development tools.
- Design extensible and testable interfaces between internal services, storage systems, and data models.
- Improve LLM applications using evaluation frameworks, prompt engineering, RAG, MCP, and agent orchestration.
- Lead or own large, multi-person engineering projects from design through deployment.
- Collaborate with engineers, product managers, and field team members in a customer-focused environment.
Requirements
- Bachelor’s degree or foreign equivalent in Computer Science or a related field.
- 4 years of experience developing software with Java and TypeScript and working with relational databases, with a focus on scalability, reliability, and performance.
- 4 years of experience building and optimizing large-scale distributed systems or compute frameworks for data processing.
- 3 years of experience designing, developing, and delivering production AI/ML systems and services for cloud-native applications.
- 3 years of experience developing AI agents and LLM-powered systems, including RAG and MCP.
- 3 years of experience designing and implementing data storage, compute, and retrieval systems for AI/ML applications.
- 3 years of experience improving LLM applications through evaluation frameworks, prompt engineering, and agent orchestration techniques.
- 3 years of experience leading or owning large, multi-person engineering projects from design through deployment.
Benefits
- 100% remote work within the United States.
- Opportunities to shape priorities, influence strategic decisions, and directly impact company and product success.
- Support for deepening technical expertise, exploring leadership opportunities, and learning across functions.
- Environment focused on career growth, learning, and shared success.
Tech Stack
Categories
About Snorkel AI
Snorkel AI builds tools and services for developing high-quality training, post-training, and evaluation data for LLMs and enterprise AI systems. It sells an enterprise platform plus expert-built datasets and benchmarks, and offers custom data development for AI labs, large enterprises, and federal customers. Founded in 2019 out of the Stanford AI Lab and headquartered in San Francisco, it is privately held.