Senior Backend Engineer

Posted Yesterday
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Tel Aviv, ISR
Hybrid
Senior level
Artificial Intelligence • eCommerce • Information Technology • Software
The Role
Design and build the backend infrastructure for agentic AI systems: high-concurrency distributed services, RAG and vector search engines, crawling/scraping sensory pipelines, LLM integration, and establish backend architectural standards and best practices.
Summary Generated by Built In
Description

ZyG is revolutionizing eCommerce with the first Agentic Operating System for eCom scale. 

This end-to-end platform helps product inventors and entrepreneurs turn their products into successful Direct-to-Consumer businesses, addressing the three key challenges of eCom scale: poor product bets, lack of scale infrastructure, and the need for often-complex financing. 

With a connected system of AI Agents built on a unified data infrastructure, the OS analyzes scale-market fit, replaces the fragmented tools, agencies, and manual workflows that typically power eCom growth, and offers the financing needed for DTC scale.

The Role

We are looking for a Senior Backend Engineer to architect the high-performance backbone of ZyG.

You will build the Agentic Architecture- the distributed systems, task-orchestration layers, and real-time execution environments that allow AI agents to perceive the market and act autonomously

What you'll do
  • Architect Agentic Service Infrastructure: Design and scale the high-concurrency backend services and distributed systems that power our AI agents' real-time decision-making.
  • Build the RAG & Execution Engine: Engineer the backend services for vector search, context-aware retrieval, and the "memory" layers required for agentic workflows.
  • Develop High-Performance Extraction Systems: Build resilient, distributed crawling and scraping services that function as the "sensory" input for our engine.
  • System Orchestration: Manage the integration of LLMs and predictive models into the core product API, ensuring low-latency execution and high system reliability.
  • Define Engineering Excellence: Establish backend architectural patterns, coding standards, and service-oriented best practices for the entire engineering team.
Requirements
  • 8+ years of experience: Deep expertise in Backend Engineering with a software-first approach to complex systems.
  • AI-Native Workflow: You have a significant advantage if you leverage modern, agentic development environments like Claude Code to accelerate system design and iteration.
  • The Tech Stack: Strong proficiency in building scalable services. While we value architectural skill over specific syntax, experience with Go (Golang) and GCP (BigQuery/Cloud Run/Postgres) is a major "force multiplier" for our stack.
  • Agentic Systems Knowledge: Familiarity with the infrastructure needed for LLMs, Vector Databases, and RAG-based application logic.
  • Architectural Ownership: You excel at taking a high-level business need and designing the full-stack service architecture required to solve it.

Skills Required

  • 8+ years of experience in backend engineering
  • Experience with Go (Golang)
  • Experience with GCP (BigQuery, Cloud Run, Postgres)
  • Familiarity with LLMs, Vector Databases, and RAG-based application logic
  • Experience designing and operating distributed, high-concurrency systems and task-orchestration layers
  • Experience building resilient, distributed crawling and scraping systems
  • Architectural ownership: design full-stack service architectures from business requirements
  • Experience with agentic development environments such as Claude Code
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The Company
65 Employees
Year Founded: 2025

What We Do

ZyG operates an agentic operating system for e-commerce scale, helping product inventors, entrepreneurs, and brands turn products into successful direct-to-consumer businesses. Its platform uses AI agents, unified data infrastructure, predictive modeling, and financing to assess product-market fit, execute digital growth, replace fragmented tools and workflows, and reduce the financial risk of scaling new brands from validation through customer acquisition and retention.

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