LLM/.NET Software Engineer

• 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.

• 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., * 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 architectures.
• Experience with Docker, Kubernetes, and DevOps practices.
• Knowledge of CI/CD pipelines and Infrastructure as Code.
• Experience implementing automated testing (xUnit, NUnit, or similar).
• BS/MS in Computer Science, Engineering, or a related field.

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., Wizeline prioritizes a culture of diversity and development for its nearly 2,000 person team spread across the globe. We believe great technology comes from a mix of talents and perspectives. Our core values of ownership, innovation, community, and inclusivity are central to our work. Wizeline is invested in its employees’ growth, offering opportunities to create personalized career paths and develop in-demand skills. We even have a free education program, Wizeline Academy, to help both employees and the broader community upskill in tech.