Senior Software Engineer

Snorkel AI
United States
Remote

Who this role is best for

A natural match if you have experience in large-scale distributed systems and AI/ML engineering.

Best fit for

  • Candidates with a track record in building scalable AI/ML systems and leading multi-person engineering projects
    — “leading or owning the delivery of large, multi-person engineering projects from design through deployment”
  • Individuals with expertise in Java, Typescript, and optimizing distributed compute frameworks
    — “4 years developing software using Java & Typescript and work with relational databases, with a focus on scalability, reliability and performance”
  • Professionals who have worked on evaluation frameworks and agent orchestration for LLM applications
    — “improving large language model (LLM) applications through evaluation frameworks, prompt engineering and agent orchestration techniques”

Things to consider

  • The role demands a strong focus on both backend systems and AI/ML integration for production environments
    — “prototype, optimize, and maintain scalable back-end services that will power new foundation model development tools”
  • Candidates should be prepared to engage in cross-functional collaboration with product managers and field teams
    — “Work closely with other engineers, product managers, and field team members”

How to stand out

  • Highlight experience with distributed systems and AI/ML production deployments in your resume and interview narrative
    — “building and optimize large-scale distributed systems or compute frameworks for data processing”
  • Emphasize your background in designing extensible interfaces between internal services
    — “Design extensible and testable interfaces between internal services including the underlying storage and data models”
  • Demonstrate hands-on experience with Retrieval-Augmented Generation (RAG) and Model Context Protocol (MCP) systems
    — “development of AI agents and LLM-powered systems: Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP)”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Building large-scale distributed systems
  • Designing and delivering ai/ml systems
Typical background
Experience in software engineeringBackground in computer science

Skills & requirements

Required

JavaTypeScriptRelational DatabasesDistributed SystemsData ProcessingAi/ml SystemsLlm ApplicationsEvaluation FrameworksPrompt EngineeringAgent OrchestrationCloud-native ApplicationsLlm-powered SystemsRetrieval-augmented GenerationModel Context Protocol

Preferred

Agentic And Foundation Model Technologies

Stack & domain

JavaTypeScriptRelational DatabasesDistributed SystemsData ProcessingAi/ml SystemsCloud-native ApplicationsLLM ApplicationsEvaluation FrameworksPrompt EngineeringAgent OrchestrationData StorageComputeRetrieval SystemsBack-end ServicesStorage And Data ModelsCollaborationLeadershipProblem-solvingInnovationCommunicationAIMLData EngineeringCloud Infrastructure

About the role

Original posting from Snorkel AI via Greenhouse

About Snorkel

Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. 

Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

About The Role-Senior Software Engineer (Req # 722) 

Snorkel AI, Inc., headquartered in San Francisco, CA, seeks a Senior Software Engineer to build systems to power large-scale AI workloads for top tier AI research labs. Work closely with other engineers, product managers, and field team members to ensure that Snorkel’s frontier AI datasets meet and surpass the capabilities of the most advanced foundation models. Launch agents into production to accomplish long running reasoning and verification tasks. The Evaluation Engineering team owns critical systems for building high-quality post-training and benchmark datasets, integrating with the latest foundation model technology to push the frontier of models used globally across coding, mathematics, law, medicine, and other advanced domains. Own the architecture, design, development, and operations of large-scale systems designed for AI/ML tasks including distributed compute systems, data management systems, data engineering workflow systems, and end user experiences. Recognize and act on opportunities to integrate the latest agentic and foundation model technologies to power eval workflows. Prototype, optimize, and maintain scalable back-end services that will power new foundation model development tools. Design extensible and testable interfaces between internal services including the underlying storage and data models. Be an engaged team player in a customer-focused cross-functional environment where you will feel excited to take on whatever is most impactful for the company and product.

What We're Looking For

Bachelor’s degree (or foreign equivalent) in Computer Science or a related field and the following experience:

4 years developing software using Java & Typescript and work with relational databases, with a focus on scalability, reliability and performance;

4 years building and optimize 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, development of AI agents and LLM-powered systems: Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP);

3 years designing and implementing data storage, compute & 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 the delivery of large, multi-person engineering projects from design through deployment.

Able to work 100% remotely.

#LI-DNI

Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.

Salary range(s) for this role$208,000—$315,000 USDBe Your Best at Snorkel

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Source: Snorkel AI careers (Greenhouse)

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