- Company Name
- Rippling
- Job Title
- Staff Software Engineer - AI Engineering San Francisco, CA
- Job Description
-
Job title: Staff Software Engineer – AI Engineering
Role Summary: Lead the design, development, and production deployment of AI/ML systems for Growth Engineering, focusing on recommendation engines, multi‑LLM architectures, and data pipelines that power GTM automation.
Expectations: Own the technical strategy for AI/ML within Growth Engineering, mentor cross‑functional teams, and deliver high‑impact, production‑grade models that drive business outcomes.
Key Responsibilities:
- Architect, build, and optimize recommendation engines, personalization, and classification models for GTM automation.
- Design multi‑LLM systems integrating OpenAI, Claude, and Databricks models for intelligent decisioning.
- Train, evaluate, and deploy models via FastAPI, Kubernetes, and async microservices.
- Develop MLOps workflows for fine‑tuning, retraining, versioning, and automated evaluation.
- Implement medallion data architectures (Bronze/Silver/Gold) with Databricks Delta Live Tables and CDC patterns.
- Build real‑time and batch pipelines using Kafka and Databricks for model inputs.
- Create embedding systems and matrix‑factorization recommendation frameworks.
- Implement AI observability (LangSmith, Braintrust), safety guardrails, and monitoring for reliability, bias, and drift.
- Optimize cost and latency through batching, caching, and adaptive model selection.
- Lead design reviews, mentor engineers, and collaborate with product and GTM partners to translate business goals into AI solutions.
Required Skills:
- 7+ years of software engineering, 3+ years of production ML system experience.
- Expertise in recommendation engines, matrix factorization, personalization, and LLM integration.
- Hands‑on experience with Databricks notebooks, Spark pipelines, and model deployment.
- Proficient in MLOps tooling for XGBoost, CatBoost, LightGBM, and containerized AI services on Kubernetes.
- Strong understanding of data architecture, feature stores, experiment tracking, and online/offline evaluation.
Required Education & Certifications: Not specified.
San francisco, United states
On site
Senior
30-12-2025