2 дня назад
LLM/.NET Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
LLM/.NET Software Engineer (AI): Building secure, scalable .NET applications powered by LLMs and Azure AI services with an accent on Azure OpenAI, Azure AI Search, and Retrieval-Augmented Generation. Focus on designing explainable and auditable AI solutions, preparing knowledge sources for retrieval, and delivering cloud-native services for regulated environments.
Location: Spain
Company
is a global digital services company that helps mid-size and Fortune 500 organizations build, scale, and deliver digital products and services, including AI/ML and data solutions.
What you will do
- Design and build secure, scalable .NET applications powered by LLMs and Azure AI services.
- Develop AI-enabled solutions with 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.
- Collaborate with Product, Platform, Data, Security, Risk, Compliance, and business stakeholders in regulated environments.
- Improve development standards, code quality, explainability, auditability, and responsible AI practices.
Requirements
- Strong experience with C# and .NET, including .NET Core or .NET 6+.
- Experience building secure, scalable enterprise backend applications and REST APIs.
- Experience with Microsoft Azure, including App Services, Azure Functions, and cloud-native architectures.
- Hands-on experience with Azure OpenAI Service, Azure AI Studio or Azure AI Foundry, Azure AI Search, and RAG solutions.
- Knowledge of retrieval concepts including document chunking, indexing, embeddings, vectorization, hybrid retrieval, semantic ranking, and citation-backed responses.
- Experience with SQL and relational databases, secure software development, cloud security, and strong communication skills in English.
Nice to have
- Experience in Financial Services, Banking, FinTech, or Financial Crime domains.
- Familiarity with KYC/KYB, name screening, transaction monitoring, fraud detection, cross-border payments, or case investigation.
- Experience evaluating LLM providers and using LangChain, Semantic Kernel, vector databases, or modern AI application architectures.
- Experience with Docker, Kubernetes, DevOps, CI/CD, Infrastructure as Code, or automated testing.
- BS/MS in Computer Science, Engineering, or a related field.
Culture & Benefits
- Work within a diverse team of nearly 2,000 people distributed globally.
- Values include ownership, innovation, community, and inclusivity.
- Opportunities to create personalized career paths and develop in-demand skills.
- Access to the free Academy education program for technology upskilling.
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