Lead Software Engineer, Backend

🕒 October 2

🌐 Hungary, Armenia, +1 more countries – Remote

infoinfo

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

Where this job comes from

Posted on Uberall's careers page, not through a job board

First seen by Remote Rocketship October 2

Still open on Uberall's site. Checked 3 hours ago.

Logo of Uberall

Uberall

201 - 500 employees

Founded 2013

🍽️ Food & Beverage

🏨 Hospitality

🚘 Automotive

Food & Beverage • Hospitality • Automotive

Uberall is an AI-powered multi-location marketing platform that enables businesses to manage and optimize their online presence across numerous directories and social channels. The platform offers services such as listings management, review management, insights and analytics, and location data management, helping brands enhance their visibility, engage with local customers, and drive more traffic to their points of sale. By centralizing data and automating processes, Uberall helps businesses effectively turn local searches into sales while improving their online reputation and customer interactions.

📋 Description

• Guide the design and operation of backend systems integrating with LLMs and AI-powered search platforms • Establish robust approaches for evaluating the quality and consistency of AI-generated results • Ensure LLM-enabled capabilities are observable, testable, cost-efficient, and resilient to changing models and external providers • Help the team manage non-deterministic behaviour, latency, rate limits, data quality, and graceful degradation in generative AI systems • Stay informed about developments in LLMs and AI search and assess them pragmatically • Shape the architecture behind AI-search products • Lead delivery of new capabilities • Support the growth and effectiveness of the engineering team • Translate customer needs and emerging generative AI developments into reliable, scalable, and maintainable backend solutions • Collaborate with Product, Engineering, and other stakeholders

🎯 Requirements

• Hands-on experience building or operating production systems that use LLMs, generative AI, or AI-powered external services • Understanding of how to evaluate and monitor LLM-enabled features beyond traditional deterministic testing • Experience designing reliable integrations with third-party APIs, including cost, latency, rate limits, observability, and provider failure • Ability to distinguish effective AI use cases from those better solved with conventional software • Experience with prompt management, retrieval-augmented generation, embeddings, vector search, or LLM evaluation frameworks is beneficial but not essential • No experience training foundation models is required • Backend engineering and technical leadership experience implied by the role

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