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# Staff Software Engineer - Data Cloud Applied ML

- **Company:** CO-RIPPLING LLC
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Salary:** $189,000.0 - $315,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Cloud Computing, Data Retrieval, Distributed Systems, Python (Programming Language), Machine Learning, Operational Data Store, Reliability Engineering, Software Engineering, Unstructured Data, Cloud Platform System, Large Language Models, Build Management, AI Platforms, Kubernetes, Machine Learning Operations, Data Generation
- **Published:** August 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=e455c8efeda16bc1

## About the Role

* 8+ years of software engineering experience, including significant ownership of distributed systems in production.
 * Experience post training and deploying LLMs in production environments.
 * Experience optimizing model inference at scale, particularly with LLMs and embedding models.
 * Strong backend engineering skills in one or more languages such as Python, Go, or Java.
 * Experience with cloud-native infrastructure (Kubernetes, container orchestration, observability, reliability engineering).
 * Ability to drive cross-functional technical strategy and execute through influence across teams.

## Description

Data Cloud is Rippling's unified data platform that makes operational data across HR, IT, and Finance queryable, governable, and actionable for analytics, reporting, and intelligent product workflows., We're hiring a Staff Software Engineer to build the AI platforms within Data Cloud. At Rippling, you aren't just building an AI feature; you are architecting the intelligence layer for the unified workforce system. This is a high-impact platform role focused on building state of the art systems for schema retrieval, query planning, and execution. You will partner closely with Rippling's AI Platform team to define shared primitives for model tuning, inference, evaluation, and development of task specific agent harnesses, while owning Data Cloud-specific capabilities that improve quality, reliability, and scale., * Develop a state of the art schema retrieval system that operates over Rippling native and customer defined schema.

 * Implement and scale Data Cloud's AI training pipelines for data retrieval, from designing data generation to managing training clusters.
 * Design and build RL training environments for structured and unstructured data retrieval.
 * Develop agent harnesses enabling product teams to safely build AI features on Data Cloud.
 * Optimize model serving and inference for scale from GPU level performance to agentic user experiences.
 * Partner with AI Platform, Infrastructure, Security, and Product Engineering to drive architecture, standards, and rollout plans.
 * Lead technical direction, mentor engineers, and drive execution on multi-team, ambiguous initiatives.


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