Cloud and Systems Integration Developer
Maxon
Build Azure infrastructure and enterprise integrations supporting Maxon’s creative software operations. Automate deployments, identity workflows, and system connections across the organization.
Open
Uberall is an AI-powered SaaS company helping multi-location brands manage their presence across local search and digital channels. Its platform brings together business listings, location data, reviews, messaging, local pages, social publishing, and analytics, giving marketing and customer experience teams a central way to support visibility and engagement across search, maps, voice, and AI platforms. Uberall serves industries including food and beverage, hospitality, and automotive, with tools such as its UB-I AI agent and Location Performance Optimization capabilities, and integrations for CRM, point-of-sale, and analytics systems.
Lead Backend Software Engineer, Generative AI — Uberall, Remote in Hungary
Lead backend development for Uberall’s LLM-powered search products. Build dependable, scalable systems and guide engineering delivery for AI-enabled capabilities.
Description
- Own the design and operation of backend services connected to LLMs and AI search platforms
- Develop rigorous methods for assessing the quality and consistency of generated outputs
- Make LLM features observable, testable, cost-conscious, and resilient across model and provider changes
- Help address nondeterminism, latency, rate limits, data quality, and graceful degradation in generative AI systems
- Track advances in LLMs and AI search and evaluate their practical value
- Define the architecture for AI search products
- Lead the delivery of new product capabilities
- Strengthen the engineering team’s growth and execution
- Turn customer needs and emerging generative AI techniques into reliable, scalable, maintainable backend services
- Work closely with Product, Engineering, and other stakeholders
Requirements
- Hands-on experience building or running production systems that use LLMs, generative AI, or external AI services
- Knowledge of evaluating and monitoring LLM features beyond conventional deterministic tests
- Experience creating dependable third-party API integrations that account for cost, latency, rate limits, observability, and provider outages
- Ability to identify problems suited to AI and distinguish them from those better addressed through conventional software
- Exposure to prompt management, retrieval-augmented generation, embeddings, vector search, or LLM evaluation frameworks is useful but optional
- Training foundation models is not part of the role
- Background in backend engineering and technical leadership
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