Senior Applied AI Engineer / Financial Services / Miami

Miami, FloridaHybridFull Time$140k - $200kJob Description A growing fintech company focused on modern financial services and trading technology is looking for a Senior Applied AI Engineer to build secure, production-grade AI applications supporting financial services workflows. The company combines financial services expertise with advanced data, AI, and engineering capabilities, with a strong focus on security, auditability, correctness, and reliability. The engineering environment is primarily built around the Microsoft Azure ecosystem and integrates closely with .NET-based enterprise systems and sensitive financial data.As a Senior Applied AI Engineer, you'll focus on turning emerging AI capabilities into reliable applications that can be deployed and used in real-world financial workflows. You'll build AI-powered applications using C#, .NET, and Azure while designing and implementing RAG pipelines, agentic workflows, and LLM integrations. This is a hands-on engineering position focused on integrating AI into production systems through APIs, function calling, tool orchestration, and enterprise system integrations rather than model training or fundamental AI research.You'll work across the application and AI stack to develop backend services and APIs that expose AI capabilities while implementing the guardrails, validation, observability, and human-in-the-loop workflows required for production financial applications. Working closely with Product, Data, Platform, and AI teams, you'll help transform AI prototypes into secure, scalable, and dependable products that can operate within enterprise and regulated environments.The ideal candidate is a strong software engineer who has developed production applications and has hands-on experience applying generative AI, LLMs, RAG, and agent workflows to real-world problems. You'll have the opportunity to work with technologies including Azure OpenAI, Azure AI Search, AKS, Azure Functions, Service Bus, Cosmos DB, and modern AI orchestration frameworks while helping define how AI can be integrated into critical financial services workflows. Required Skills & Experience 5+ years of professional software engineering experienceStrong experience with C# / .NET and Microsoft AzureExperience building production APIs and backend servicesHands-on experience integrating Generative AI and Large Language Models into production applicationsExperience designing and implementing Retrieval-Augmented Generation (RAG) pipelinesExperience building agent workflows and intelligent workflow applicationsExperience with prompt engineeringExperience with function calling and AI tool orchestrationExperience working with SQL, enterprise systems, and cloud-native architecturesExperience building AI assistants, copilots, or similar intelligent applicationsAbility to take AI prototypes and turn them into reliable, production-grade applicationsExperience working within financial services or another regulated industry Desired Skills & Experience Experience with .NET 8+, ASP.NET Core, and modern C# developmentExperience with Azure OpenAI and Azure AI SearchExperience with Azure Kubernetes Service (AKS)Experience with Azure Functions and Service BusExperience with Cosmos DB and SQLExperience with Docker and containerized applicationsExperience with GitHub Actions or Azure DevOpsFamiliarity with Semantic Kernel, LangChain, Copilot Studio, Azure AI Foundry, or similar AI orchestration frameworksExperience with React, TypeScript, Blazor, or PythonExperience developing secure AI applications in enterprise environmentsStrong understanding of cloud-native application architectures What You Will Be Doing Daily Responsibilities Build AI-powered applications using C#, .NET, and AzureDesign and implement RAG pipelines that connect LLMs with enterprise data and systemsDevelop agentic workflows that enable AI applications to reason, interact with tools, and execute business processesIntegrate LLMs into production applications using APIs, function calling, and tool orchestrationDevelop backend services and APIs that expose AI capabilities to internal applications and workflowsImplement guardrails, validation logic, observability, and human-in-the-loop workflowsBuild AI assistants, copilots, and intelligent workflow applications for financial services use casesIntegrate AI capabilities with enterprise systems, databases, and cloud-native servicesWork closely with Product, Data, Platform, and AI teams to define and deliver production solutionsEvaluate AI prototypes and determine how they can be transformed into secure, scalable production applicationsHelp establish engineering patterns and best practices for integrating AI into enterprise systems The Offer You will receive the following benefits:Competitive SalaryHybrid Work EnvironmentOpportunity to work at the intersection of AI, financial technology, and enterprise softwareHands-on ownership of production AI applications and intelligent workflowsOpportunity to work with modern Azure AI and LLM technologiesCollaborative environment working closely with Product, Data, Platform, and AI teamsApplicants must be authorized to work in the US on a full-time basis now and in the future.