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Lead (Backend) Software Engineer

UberallHungaryResearch & Development
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Experience
Lead
Posted
2 Oct 2026
Status
Open · checked 7d ago

About this role

Based in Hungary, the Lead Backend Software Engineer position at Uberall involves directing technical development and team growth for generative AI search products and suits engineering professionals with production LLM experience. The professional filling this role will shape architectural designs, build scalable backend services, and collaborate closely with product stakeholders.

Role Overview

The Lead Backend Software Engineer at Uberall operates within the GEO team to construct backend infrastructure that gathers and evaluates signals from AI-driven search tools like ChatGPT, Gemini, Perplexity, and Google AI Overviews. This position requires blending direct technical contributions with engineering team leadership, guiding the creation of maintainable solutions in a rapidly changing technical space, and turning customer requirements into reliable backend systems.

Key Responsibilities

Direct the architecture and operational management of backend systems that connect with large language models and AI search engines.
Define strong methods for checking the consistency and quality of outputs generated by artificial intelligence.
Guarantee that features utilizing large language models remain observable, testable, cost-effective, and capable of handling external provider changes.
Assist the team in addressing generative AI hurdles such as latency, rate limits, non-deterministic performance, data hygiene, and system degradation.
Keep track of advancements in large language models and AI search to evaluate them pragmatically.

Requirements

Practical background in constructing or running production systems that incorporate large language models, generative AI, or external AI services.
Knowledge regarding the monitoring and assessment of features driven by large language models past standard deterministic testing methods.
Background in creating dependable integrations with third-party APIs while handling latency, costs, rate limits, provider outages, and observability.
Capacity to identify appropriate AI use cases versus problems better addressed through standard software.

Nice to Have

Background in retrieval-augmented generation, prompt management, vector search, embeddings, or frameworks for evaluating large language models.

Skills and Tools

Large Language Models (LLMs)
Generative AI
Retrieval-Augmented Generation (RAG)
Vector Search
Prompt Management
Embeddings
Third-party APIs

About the Company

Uberall houses a GEO team focused on Generative Engine Optimization. The company develops products that assist multi-location brands in tracking, comprehending, and enhancing their visibility and citations across answer engines and AI-powered search platforms.

How to Apply

Interested candidates should apply on the official company careers page.

Skills and tech stack

LLMsGenerative AIRAGVector SearchEmbeddingsPrompt ManagementPythonLLMDockerAWSJavaLangChainScala

Questions candidates ask

Where is the position located?

The job is based in Hungary.

Does this role require training foundation models?

No experience training foundation models is required for this position.

What team does this engineer join?

The engineer joins the GEO team, which focuses on Generative Engine Optimization.

What are the core responsibilities regarding AI models?

Responsibilities include designing backend systems that integrate with LLMs, evaluating output quality, ensuring observability and cost efficiency, and managing issues like latency and non-deterministic behavior.

Is experience with vector search mandatory?

No, experience with vector search, retrieval-augmented generation, prompt management, embeddings, or LLM evaluation frameworks is beneficial but not essential.

Ready to apply?

The application is on the official Uberall careers page.

Apply on company site