Senior Applied AI Engineer

Magen Financial LLC; Miami (FL); On-site; USD 140,000 - 190,000; Full time

Job summary

Magen Financial LLC in Miami, FL seeks a Senior Applied AI Engineer to build secure, production-grade AI applications for financial services workflows. This hands-on role focuses on integrating LLMs, RAG, agents, APIs, and enterprise systems—not on model training.

You will collaborate with product, data, and platform teams to deliver scalable solutions, implement guardrails and observability, and turn AI prototypes into reliable production applications.

Qualifications

• 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.

Responsibilities

• 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.

Skills

C# / .NET

Azure

Back-end APIs

LLM integration

RAG

Security in production

React/TypeScript

Python

Tools

Semantic Kernel

LangChain

Copilot Studio

Azure AI Foundry

Job description

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?