Senior LLM/.NET Software Engineer

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.

No deje pasar esta oportunidad, inscríbase rápidamente si su experiencia y habilidades coinciden con lo que se indica en la siguiente descripción.

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 practices.
• Ability to collaborate effectively with Product, Data, Security, Compliance, and business stakeholders.
• Strong communication skills in English.
• Location: Spain & Romania

Nice to have Skills

• Experience working in Financial Services, Banking, FinTech, or Financial Crime (FinCrime) domains.
• Familiarity with AI use cases such as:
• KYC / KYB
• Name Screening
• Transaction Monitoring
• Fraud Detection
• Cross Border Payments
• Case Investigation
• Experience evaluating different LLM providers and understanding trade-offs between Azure OpenAI and other foundation models.
• Familiarity with frameworks such as LangChain, Semantic Kernel, or similar orchestration frameworks.
• Experience with vector databases and modern AI application architec