Senior Software Engineer, Backend
פורסם 27 באפר׳ · 99 מועמדים
התפקיד במילים פשוטות
התפקיד כולל בנייה והרחבה של מערכות קצה אחוריות (backend) המניעות מוצרי AI בסביבת ייצור. המהנדס יעצב ויישם ממשקי API, שירותים, צינורות נתונים ותשתית ליבה, ויפתח יכולות backend מבוססות AI באמצעות מודלי שפה גדולים (LLMs) וזרימות עבודה מבוססות סוכנים. הוא יהיה אחראי גם על אמינות, פריסה, יכולת תצפית וביצועים של מערכות ה-backend.
- At least 5 years of experience building in production
- Strong working knowledge of LLMs and how they behave in real systems
- Experience building with LLM APIs, agent workflows, prompt systems, retrieval pipelines, and structured outputs
- Ability to build basic to moderately complex AI agents and backend systems around them
- Strong architecture instincts across services, queues, databases, caching, async jobs, and system design
חולץ מתיאור המשרה · מתעדכן אוטומטית
למי זה מתאים
התפקיד מתאים למהנדס תוכנה בכיר עם לפחות 5 שנות ניסיון בבניית מערכות בסביבת ייצור, בעל הבנה חזקה במערכות AI מודרניות וניסיון נרחב ב-DevOps. הוא מיועד למי שיכול לעבוד במהירות, לקחת בעלות רבה ולבנות מערכות חזקות במהירות, ופחות מתאים למהנדס AI טהור או למהנדס backend מסורתי ללא חיבור ל-AI.
תיאור המשרה המלא
המשרה המקורית · נשמר לעיוןCompany Description
Othello is building at the frontier of real-time generative AI, helping sales teams make better high-stakes decisions in the moments that matter most, while a customer conversation is still happening. Our platform is used by leading sales organizations, including Fortune 500 companies, to deliver live intelligence before, during, and after meetings. We’re an early-stage startup that moves extremely fast, gives people real ownership, and is built for people who want to solve hard technical problems at the edge of what’s possible
We’re hiring a Backend Engineer with strong AI systems fluency to help build and scale production systems at the intersection of backend infrastructure, applied AI, and DevOps.
This role is for someone who moves extremely fast, covers a lot of ground, and can build high-quality systems under real execution pressure. We want a hands-on engineer with strong backend fundamentals, extensive DevOps experience, and a real understanding of how modern AI systems work in practice. Not a pure AI engineer, and not a traditional backend engineer disconnected from AI. This is a builder who can operate across backend systems, infrastructure, and AI-powered workflows.
What you’ll do
Build and scale backend systems that power AI products in production
Design and implement APIs, services, pipelines, and core infrastructure
Develop AI-powered backend capabilities using LLMs, agents, retrieval, and tool-based workflows
Own reliability, deployment, observability, and performance across backend systems
Turn ambiguous problems into fast, practical, production-ready systems
Move quickly across backend, infrastructure, and AI implementation work as needed
What we’re looking for
At least 5 years of experience building in production.
Strong working knowledge of LLMs and how they behave in real systems
Experience building with LLM APIs, agent workflows, prompt systems, retrieval pipelines, and structured outputs
Ability to build basic to moderately complex AI agents and backend systems around them
Strong architecture instincts across services, queues, databases, caching, async jobs, and system design
Strong coding ability and very high engineering velocity
Ability to move fast without sacrificing quality, reliability, or maintainability
Deep problem-solving ability and strong engineering judgment
Comfortable operating in ambiguity and figuring things out fast
High ownership, strong work ethic, and strong execution standards
You should be the kind of person who
Can sprint through large amounts of work without becoming sloppy
Understands backend architecture, infrastructure, and practical AI implementation
Is comfortable owning systems from code to deployment to production reliability
Knows when to build clean abstractions and when to move pragmatically
Can take a messy problem and turn it into a working system quickly
Cares about speed, quality, and actually shipping
What matters most
We are looking for a fast, sharp, highly capable builder who can operate across backend engineering, infrastructure, and applied AI. Someone who can own a lot, move with urgency, and build robust systems quickly.
This role is for someone who combines backend strength, DevOps depth, AI fluency, and exceptional execution speed.
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שאלות על המשרה
- המשרה לא ציינה שכר. אנחנו מציגים שכר רק כשהמעסיק מפרסם אותו.
- At least 5 years of experience building in production, Strong working knowledge of LLMs and how they behave in real systems, Experience building with LLM APIs, agent workflows, prompt systems, retrieval pipelines, and structured outputs, Ability to build basic to moderately complex AI agents and backend systems around them, Strong architecture instincts across services, queues, databases, caching, async jobs, and system design