Lead Software Engineer, Backend

🔥 15 hours ago

🌐 Hungary, Armenia, +1 more countries – Remote

🇭🇺 Hungary – Remote 🇦🇲 Armenia – Remote 🇲🇰 North Macedonia – Remote

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Uberall

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2013

🍽️ Food & Beverage

🏨 Hospitality

🚘 Automotive

Food & Beverage • Hospitality • Automotive

Uberall is an AI-powered SaaS platform that helps multi-location brands manage and optimize their local digital presence. It centralizes listings, location data, review management, messages, local pages, social publishing and analytics, and uses its AI agent (UB-I) and Location Performance Optimization (LPO) to improve discoverability, engagement and revenue across search, maps, voice and AI platforms. Uberall integrates with CRMs, POS and analytics tools to scale local SEO and reputation management for marketing and customer experience teams.

📋 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