LLM/.NET Software Engineer
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Before you apply
LocationSpain
Typefull-time
DepartmentSoftware Engineering
Company size501–1,000 people
PostedNov 22, 2024 · 1y ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
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, and 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
Skills
.NET
C#
REST APIs
Microsoft Azure
Azure OpenAI
Azure AI Search
Azure AI Studio
Azure AI Foundry
Retrieval-Augmented Generation (RAG)
SQL
Azure Functions
App Services
Docker
Kubernetes
DevOps
CI/CD
Infrastructure as Code
xUnit
NUnit
LangChain
Semantic Kernel
Benefits
Health insurance
Unlimited PTO
Remote stipend
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 practices.
•
Ability to collaborate effectively with Product, Data, Security, Compliance, and business stakeholders.
•
Strong communication skills in English.
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 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.
About Us
Wizeline prioritizes a culture of diversity and developmentfor 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.
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