M
Senior Applied AI Engineer
Magen Financial LLC
1 hour ago
Full-time
On-site
Miami, Florida, United States
We're seeking a Senior Applied AI Engineer to build secure, production-grade AI applications for financial services workflows. This is a hands-on engineering role focused on integrating LLMs, RAG, agents, APIs, and enterprise systems—not model training or AI research.
About the Role What You'll Do
Build AI-powered applications using C#, .NET, and Azure.
Design and implement RAG pipelines and agentic workflows.
Integrate LLMs into production systems using APIs, function calling, and tool orchestration.
Develop backend services and APIs that expose AI capabilities.
Implement guardrails, validation logic, observability, and human-in-the-loop workflows.
Collaborate with Product, Data, Platform, and AI teams to deliver secure and scalable solutions.
Responsibilities
5+ years of software engineering experience
Strong C# / .NET and Azure expertise
Experience building production APIs and backend services
Hands-on experience with:
Generative AI / LLM integrations
Retrieval-Augmented Generation (RAG)
Experience with SQL, enterprise systems, and cloud-native architectures
Ability to turn AI prototypes into reliable production applications
Preferred Technologies
Experience with Semantic Kernel, LangChain, Copilot Studio, Azure AI Foundry, or similar AI orchestration frameworks is a plus.
Required Skills
Financial services or regulated industry experience
AI assistants, copilots, or intelligent workflow applications
React, TypeScript, Blazor, or Python experience
Preferred Skills If you're a strong .NET engineer who has built real-world AI applications, copilots, or intelligent automation solutions, we'd love to connect.
Additional Job Application Terms This job is part of LinkedIn’s Full-Service Hiring beta program. Eligibility is limited to candidates located in and performing services in the United States, excluding those based in Alaska, Hawaii, Nevada, South Carolina, or West Virginia.
We’re committed to making our hiring process as smooth and timely as possible, and we understand that waiting to hear back can add to the anticipation. If you’re a potential fit, our team will reach out within two weeks to progress you to the next stage. If you don’t hear from us in that time, we encourage you to explore other opportunities with our team in the future, and we wish you the very best in your job search.
Do you agree to the additional job application terms, linked in the job description and available at https://www.linkedin.com/help/linkedin/answer/a7729058?
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About the Role What You'll Do
Build AI-powered applications using C#, .NET, and Azure.
Design and implement RAG pipelines and agentic workflows.
Integrate LLMs into production systems using APIs, function calling, and tool orchestration.
Develop backend services and APIs that expose AI capabilities.
Implement guardrails, validation logic, observability, and human-in-the-loop workflows.
Collaborate with Product, Data, Platform, and AI teams to deliver secure and scalable solutions.
Responsibilities
5+ years of software engineering experience
Strong C# / .NET and Azure expertise
Experience building production APIs and backend services
Hands-on experience with:
Generative AI / LLM integrations
Retrieval-Augmented Generation (RAG)
Experience with SQL, enterprise systems, and cloud-native architectures
Ability to turn AI prototypes into reliable production applications
Preferred Technologies
Experience with Semantic Kernel, LangChain, Copilot Studio, Azure AI Foundry, or similar AI orchestration frameworks is a plus.
Required Skills
Financial services or regulated industry experience
AI assistants, copilots, or intelligent workflow applications
React, TypeScript, Blazor, or Python experience
Preferred Skills If you're a strong .NET engineer who has built real-world AI applications, copilots, or intelligent automation solutions, we'd love to connect.
Additional Job Application Terms This job is part of LinkedIn’s Full-Service Hiring beta program. Eligibility is limited to candidates located in and performing services in the United States, excluding those based in Alaska, Hawaii, Nevada, South Carolina, or West Virginia.
We’re committed to making our hiring process as smooth and timely as possible, and we understand that waiting to hear back can add to the anticipation. If you’re a potential fit, our team will reach out within two weeks to progress you to the next stage. If you don’t hear from us in that time, we encourage you to explore other opportunities with our team in the future, and we wish you the very best in your job search.
Do you agree to the additional job application terms, linked in the job description and available at https://www.linkedin.com/help/linkedin/answer/a7729058?
#J-18808-Ljbffr