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GenAI / LLM Specialist

It is a multi-generational technology company with a global reach, focusing on cloud services, artificial intelligence, software, and consulting solutions for businesses of all sizes. It has an extensive network of experts and researchers who help companies modernize IT infrastructure and tackle digital challenges across various industries. Recently, it has been strongly focusing on developing artificial intelligence and hybrid cloud platforms that support the transformation of business processes.

We are looking for an experienced LLM Application Developer who wants to contribute to innovative solutions leveraging artificial intelligence, cloud services, and secure integration with internal systems. The role focuses on developing, implementing, and optimizing GenAI applications in the Microsoft Azure environment.

What will be your key responsibilities:

  • Develop and implement LLM applications with a focus on prompt engineering, retrieval (vector stores), tool/function calling, and evaluation
  • Build backend services in Python to support AI solutions
  • Work within the Azure ecosystem: Functions, App Service/Container Apps, Azure OpenAI, Cognitive Services, Key Vault, Storage, Event/Service Bus, APIM, and Managed Identities
  • Integrate bots and applications with secure APIs into ERP/SAP and internal services
  • Optimize, test, and monitor the performance and cost of GenAI solutions
  • Collaborate with teams to improve data infrastructure, ETL/ELT processes, and manage knowledge and feature assets aligned with Unity Catalog

What experience should you have:

  • Hands-on experience in LLM application development (prompt engineering, retrieval, tool/function calling, evaluation)
  • Proficiency in Python for backend services
  • Experience with the Azure ecosystem (Functions, App Service/Container Apps, Azure OpenAI, Cognitive Services, Key Vault, Storage, Event/Service Bus, APIM, Managed Identities)
  • Experience integrating bots/applications with ERP/SAP and internal services via secure APIs

Nice to Have:

  • Familiarity with Microsoft 365/Teams/Power Platform
  • DevOps & CI/CD experience: Git, pipelines, automated testing, performance and cost monitoring for LLM workloads
  • Data engineering skills: ETL/ELT, Spark, data modeling, and governance of assets aligned with Unity Catalog.

What do you get in return:

  • Work on innovative AI projects and GenAI applications in a modern technology environment
  • Collaborate with a team of experienced experts and access to cutting-edge cloud technologies
  • Flexible working conditions and opportunities for personal and professional growth
  • Competitive compensation and benefits according to company policies
  • Support for learning and acquiring new certifications in AI, cloud services, and data infrastructure.

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