Senior Software Engineer

Snorkel AI

. Build systems to power large-scale AI workloads for top-tier AI research labs .

Posted 11/11/2026full-timeRemote • California • United StatesSenior💰 $208,000 - $315,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and optimizing large-scale AI/ML systems, with a strong focus on distributed computing, data management, and cloud-native applications. Proven ability to lead engineering projects from design to deployment while integrating advanced AI technologies and ensuring system performance and reliability.

Highest-signal resume keywords

Java DevelopmentTypeScript DevelopmentLarge-Scale Distributed SystemsAI/ML Systems DevelopmentData Storage and Retrieval Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentDistributed ComputingData EngineeringAI Agents DevelopmentLarge Language Model ApplicationsPrompt EngineeringAgent Orchestration TechniquesEvaluation FrameworksScalability OptimizationPerformance Tuning

Soft Skills

CollaborationProject LeadershipCustomer Focus

Tools & Technologies

Cloud-Native ApplicationsRelational DatabasesFoundation-Model TechnologiesData Management SystemsBack-End Services

Certifications & Qualifications

Bachelor’s Degree in Computer Science

Industry Keywords

AI WorkloadsFoundation-Model CapabilitiesData Processing FrameworksRemote WorkCross-Functional Environment

Tech Stack

Tools & technologies

CloudDistributed SystemsJavaTypeScript

About the role

Key responsibilities & impact

Build systems to power large-scale AI workloads for top-tier AI research labs
Work closely with engineers, product managers, and field team members
Ensure frontier AI datasets meet and surpass advanced foundation-model capabilities
Launch agents into production for long-running reasoning and verification tasks
Own architecture, design, development, and operations of large-scale AI/ML systems
Develop distributed compute systems, data management systems, data engineering workflow systems, and end-user experiences
Integrate agentic and foundation-model technologies into evaluation workflows
Prototype, optimize, and maintain scalable back-end services for foundation-model development tools
Design extensible and testable interfaces between internal services, storage, and data models
Deliver large engineering projects from design through deployment in a customer-focused, cross-functional environment

Requirements

What you’ll need

Bachelor’s degree (or foreign equivalent) in Computer Science or a related field
4 years developing software using Java and TypeScript and working with relational databases, with a focus on scalability, reliability, and performance
4 years building and optimizing large-scale distributed systems or compute frameworks for data processing
3 years designing, developing, and delivering AI/ML systems and services in production environments for cloud-native applications
Experience developing AI agents and LLM-powered systems, including Retrieval-Augmented Generation (RAG) and Model Context Protocol (MCP)
3 years designing and implementing data storage, compute, and retrieval systems to support AI/ML applications
3 years improving large language model (LLM) applications through evaluation frameworks, prompt engineering, and agent orchestration techniques
3 years leading or owning delivery of large, multi-person engineering projects from design through deployment
Able to work 100% remotely
Must be based in the United States

Benefits

Comp & perks

Meaningful opportunities to shape priorities and initiatives
Opportunity to influence key strategic decisions and directly impact company success
Support for deepening technical expertise, exploring leadership opportunities, and learning new skills across multiple functions
Career growth, learning, and shared success environment
Equal employment opportunities
Reasonable accommodation for individuals with disabilities during application/interview, job performance, and access to benefits and privileges