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# Senior Backend Engineer ($190K-$250K + Equity) at Raya

- **Company:** Jack & Jill, Inc.
- **Location:** Gill, MA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $190,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Corona (Software Development Kit), Machine Learning, Systems Development Life Cycle, Recommender Systems, Large Language Models, Backend, Kubernetes, Golang
- **Published:** August 15, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pb8ws54gkq

## About the Role

* Has 6+ years of experience in modern software development with a proven track record of delivering scalable systems using Golang.
 * Possesses deep expertise in building and scaling production recommendation systems, ranking algorithms, or personalization features for consumer-facing products.
 * Demonstrates a "bias toward shipping" and enthusiasm for emerging AI frameworks, with the ability to iterate quickly in a fast-moving startup environment.

## Description

Join Raya as a Senior Backend Engineer to lead the Recommendations team. You will architect and build production ranking services that power how a global community of creatives discover each other. This high-impact role involves integrating AI-driven discovery features and scaling backend infrastructure to enhance meaningful human connections for thousands of members., * Own the core discovery engine of a highly exclusive social platform, directly influencing how thousands of elite creatives and cultural leaders connect globally.

 * Join a profitable, 100-person company that offers the stability of a successful business with the fast-paced innovation of a high-growth startup.
 * Work with a modern tech stack including Go and Kubernetes, while actively developing and deploying production-level LLM-powered features and AI discovery tools.

What You Will Do

 * Architect, build, and lead key components of Raya's backend services, specifically focusing on production ranking and recommendation systems.
 * Collaborate with cross-functional teams including UX designers and data scientists to ensure personalized discovery features are user-centric and scalable.
 * Drive operational excellence across the full SDLC, implementing CI/CD practices and navigating the deployment of machine learning models into production.


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