Wizeline

LLM/.NET Software Engineer

Wizeline
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8 days ago
Barcelona, SpainMid Level
H1B Sponsor

Responsibilities

  • 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.
  • Own features from discovery and proof of value through implementation and production readiness.
  • Build reusable, reliable, and cost-efficient cloud-native services on Microsoft Azure.
  • Prepare knowledge sources for retrieval through document chunking, indexing, and embeddings/vectorization.
  • Ensure AI solutions are explainable, auditable, secure, and aligned with engineering best practices.
  • Collaborate with Product, Platform, Data, Security, Risk, Compliance, and business stakeholders.
  • Contribute to development standards, code quality, and technical innovation.
  • Deliver Generative AI solutions that automate workflows and improve operational efficiency.

Requirements

  • Strong experience developing applications with C# and .NET, including .NET Core or .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 using Azure OpenAI Service for chat and completion capabilities.
  • Experience with Azure AI Studio or Azure AI Foundry.
  • Experience implementing Retrieval-Augmented Generation solutions.
  • Strong understanding of Azure AI Search, including hybrid retrieval, semantic ranking, and citation-backed responses.
  • Understanding of when to use RAG versus prompt engineering or fine-tuning.
  • Knowledge of prompt engineering, responsible AI, secure software development, and cloud security best practices.
  • Experience working with SQL and relational databases.
  • Strong collaboration and English communication skills.
  • Preferred experience in Financial Services, Banking, FinTech, or Financial Crime domains.
  • Preferred familiarity with KYC/KYB, name screening, transaction monitoring, fraud detection, cross-border payments, or case investigation.
  • Preferred experience evaluating LLM providers and comparing Azure OpenAI with other foundation models.
  • Preferred familiarity with LangChain, Semantic Kernel, or similar orchestration frameworks.
  • Preferred experience with vector databases, Docker, Kubernetes, DevOps practices, Infrastructure as Code, and automated testing.
  • A BS or MS in Computer Science, Engineering, or a related field is preferred.

Benefits

  • Wizeline offers employee growth opportunities and personalized career paths.
  • Employees can access the free Wizeline Academy education program.
  • The company emphasizes diversity, development, ownership, innovation, community, and inclusivity.

Tech Stack

Wizeline

About Wizeline

1,001-5,000 employees

Wizeline, a global technology services provider, builds the best digital products and platforms at scale. We focus on measurable outcomes, partnering with our customers to modernize core technologies, mature data-driven capabilities, and improve user experience.

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