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Wizelinevia Greenhouse

LLM/.NET Software Engineer

SpainPosted 1d ago
NLP / LLMMid LevelFull-time

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About the Role

The Company

Wizeline is a global digital services company helping mid-size to Fortune 500 companies build, scale, and deliver high-quality digital products and services.  We thrive in solving our customer’s challenges through human-centered experiences, digital core modernization, and intelligence everywhere (AI/ML and data). We help them succeed in building digital capabilities that bring technology to the core of their business.

Your Day-to-Day 

Here's what you'll be doing in your day-to-day work:

  • Design and build secure, scalable .NET applications powered by LLMs and Azure AI services.
  • Develop AI-enabled solutions using Azure OpenAI, Azure AI Search, and Retrieval-Augmented Generation (RAG).
  • Own features end-to-end, from discovery and proof of value through implementation and production readiness.
  • Collaborate with Product, Platform, Data, Security, Risk, Compliance, and business stakeholders to deliver AI solutions in regulated environments.
  • Build reusable, reliable, and cost-efficient cloud-native services on Microsoft Azure.
  • Ensure AI solutions are explainable, auditable, secure, and aligned with engineering best practices.
  • Contribute to improving development standards, code quality, and technical innovation across the team.
  • Work on impactful projects that leverage Generative AI to automate workflows, improve operational efficiency, and deliver measurable business value.
 
 

Are You a Fit?

Sounds awesome, right? Now, let’s make sure you’re a good fit for the role.

Must-have Skills

  • Strong experience developing applications using C# and .NET (.NET Core / .NET 6+).
  • Experience building secure, scalable, enterprise-grade backend applications.
  • Hands-on experience developing and consuming REST APIs.
  • Experience with Microsoft Azure, including App Services, Azure Functions, and cloud-native architectures.
  • Practical experience building applications using Azure OpenAI Service for chat and completion capabilities.
  • Experience with Azure AI Studio / Azure AI Foundry.
  • Experience implementing Retrieval-Augmented Generation (RAG) solutions.
  • Strong understanding of Azure AI Search, including:
    • Hybrid retrieval
    • Semantic ranking
    • Citation-backed responses
  • Understanding of when to leverage RAG versus prompt engineering or fine-tuning.
  • Experience preparing knowledge sources for AI retrieval, including:
    • Document chunking
    • Indexing
    • Embeddings/vectorization concepts
  • Knowledge of prompt engineering best practices and responsible AI principles.
  • Experience working with SQL and relational databases.
  • Understanding of secure software development and cloud security best
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