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-DayHere'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.
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.
- 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 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.
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Apply now!
Skills Required
- Working experience with .NET (.NET Framework 4.5.x, .NET Core 2.x or later)
- Experience with ORM Entity Framework 6.x
- Experience working with Microsoft Azure platform
- Experience with Azure Functions
- Hands-on experience developing REST APIs
- SQL proficiency
- Experience developing secure, scalable enterprise applications
- Familiarity with computer science algorithms and data structures
- Knowledge of relational and/or non-relational databases
- Strong English communication skills
- Experience in one or more common web application stacks
- BS/MS in Computer Science, Engineering, or related
- Experience working directly with clients
- Public code repository or open source contributions
- DevOps knowledge (Docker and/or Kubernetes)
- TDD methodologies and unit test frameworks (nUnit or xUnit)
Wizeline Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Wizeline and has not been reviewed or approved by Wizeline.
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Healthcare Strength — Core coverage spans medical, dental, vision, life and disability insurance, with private medical commonly included in Mexico. Additional support such as EAP and wellness programs is also referenced.
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Leave & Time Off Breadth — Paid vacation, holidays, sick leave, volunteer time, and parental leave are called out, alongside flexible or remote work options. Unlimited PTO is mentioned in some contexts.
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Retirement Support — Savings and retirement elements appear across regions, including a 401(k) in the U.S. and a savings fund and profit sharing in Mexico. These components provide structured long-term financial benefits.
Wizeline Insights
What We Do
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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