Lead Backend Software Engineer

About the role

The GEO team at Uberall is building backend capabilities that collect and analyse signals from AI‑powered search platforms. As the Backend Engineering Lead you will combine hands‑on technical work with leadership of the engineering team, shaping architecture for AI‑search products and delivering new capabilities.

Key responsibilities

• Guide the design and operation of backend systems that integrate with large language models (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 providers.
• Help the team manage challenges of generative AI systems, including non‑deterministic behaviour, latency, rate limits, data quality, and graceful degradation.
• Stay informed about developments in LLMs and AI search, assessing them pragmatically rather than adopting technology for its own sake.

Required profile

• 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 and managing concerns such as cost, latency, rate limits, observability, and provider failure.
• 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; the role focuses on backend engineering and technical leadership.

Required skills

• LLM integration
• Prompt management
• Retrieval‑augmented generation
• Embeddings
• Vector search
• LLM evaluation frameworks
• API integration
• Observability