AI & analytics solution engineer

Via agency · Randstad Hungary

Software developerApplications developerSystems analystFlexibleFull-time

Budapest

For the growing AI and Analytics team, we are looking for an innovative AI & Analytics Solution Engineer. You will identify business opportunities for AI, design intelligent solutions, and build modern analytics and chatbot applications that create measurable business value.

Tasks

  • Identify, evaluate, and prioritize AI and analytics use cases with business stakeholders.
  • Design and develop internal AI chatbot solutions and dashboard integrations.
  • Build external customer-facing chatbot and self-service solutions.
  • Develop AI-powered applications using modern cloud and generative AI technologies.
  • Translate business challenges into user-centric digital solutions.
  • Establish scalable deployment and operational processes for AI solutions.
  • Collaborate closely with business experts, IT teams, and data specialists.
  • Drive additional AI and analytics initiatives from concept to implementation

Conditions & benefits

Exciting international projectsWork on impressive projects in Switzerland, Germany, and across Europe.Attractive remuneration packageThey offer a competitive base salary and a diverse benefits package.International and dynamic environmentBecome part of a highly qualified, multidisciplinary team at the new location in Budapest and collaborate closely with experts in Hungary and abroad.Shape the futureBring in your own ideas, actively drive the digitalization and automation of the construction industry, and make a lasting impact.Modern work cultureThey encourage cross-disciplinary collaboration, offer flexible working models (including work-from-home options), and focus on a culture of mutual respect and appreciation.

Requirements

  • Several years of experience with Generative AI and LLMs, including solutions you have taken into production --- not only prototypes or proof of concepts.
  • Solid hands-on experience with RAG architectures, including embeddings, vector databases, chunking strategies, and context design.
  • Experience with Azure AI Services, in particular Azure OpenAI Service and Azure AI Search, plus deployment via Azure Functions or Container Apps.
  • Strong command of Python, API development such as FastAPI, and at least one orchestration framework such as LangChain, LlamaIndex, or Semantic Kernel.
  • Experience with MLOps, CI/CD, Docker, and Kubernetes.
  • Design of conversational applications, including multi-turn dialogue, fallback and escalation logic, and integration into existing service channels.
  • Systematic quality assurance for LLM applications, including test sets, evaluation metrics, and regression testing.
  • Implementation of grounding and guardrails to safeguard customer-facing applications.
  • Experience facilitating use-case discovery with business units and designing user- centric solutions.
  • German at C1 level or above and business-fluent English.

Posted Oct 26, 2026 · Updated 8 days ago · 3 views