Lead (Backend) Software Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked just now — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 4h ago
The date the source published, not the day we noticed it (2026-10-02). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Hungary, Armenia, North Macedonia
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $204.3k–227.3k/yr
Middle 50% of 18 listings that do state pay — Engineering · Lead · Eastern Europe · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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ashby employer's own board first seen 1h ago · last seen just now
The listing
About the GEO Team
GEO stands for Generative Engine Optimization. The GEO team builds products that help multi-location brands understand and improve how they are represented, cited, and recommended across AI-powered search and answer engines such as ChatGPT, Gemini, Perplexity, and Google AI Overviews.
We are building backend capabilities that collect and analyse signals from rapidly evolving AI platforms, measure brand visibility, and turn complex data into actionable recommendations for our customers.
About the Role
As Backend Engineering Lead for Uberall's GEO team, you will combine hands-on technical leadership with responsibility for the growth and effectiveness of the engineering team.
You will shape the architecture behind our AI-search products, lead the delivery of new capabilities, and help the team navigate a fast-moving and technically ambiguous domain. Working closely with Product, Engineering, and other stakeholders, you will translate customer needs and emerging developments in generative AI into reliable, scalable, and maintainable backend solutions.
Your Responsibilities
Guide the design and operation of backend systems that integrate with LLMs and AI-powered search platforms.
Establish robust approaches for evaluating the quality and consistency of AI-generated results.
Ensure that LLM-enabled capabilities are observable, testable, cost-efficient, and resilient to changing models and external providers.
Help the team manage the particular challenges of generative AI systems, including non-deterministic behaviour, latency, rate limits, data quality, and graceful degradation.
Stay informed about relevant developments in LLMs and AI search, assessing them pragmatically rather than adopting technology for its own sake.
Your Profile
Hands-on experience building or operating production systems that use LLMs, generative AI, or AI-powered external services.
An understanding of how to evaluate and monitor LLM-enabled features beyond traditional deterministic testing.
Experience designing reliable integrations with third-party APIs and managing concerns such as cost, latency, rate limits, observability, and provider failure.
The ability to distinguish between an effective AI use case and one 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; this is primarily a backend engineering and technical leadership role.