TL;DR

Principal Data And .Net Engineer (Analytics And AI): Lead design and development of full-stack applications, data pipelines, and AI-powered systems with an accent on .NET, data engineering, and large language model (LLM) integration. Focus on building scalable backend services, embedding AI capabilities, and ensuring data governance and compliance.

Location: Remote (United States)

Salary: $133,700 - $173,800

Company

%hirify_global% is a remote-first product company focused on software and AI-driven solutions.

What you will do

Design and develop full-stack applications using .NET, C#, Angular, and modern web technologies.
Build scalable backend services and APIs integrating with databases and cloud platforms.
Lead delivery of high-quality software ensuring performance, security, and maintainability.
Integrate and curate data for reporting, dashboards, and AI applications using tools like Power BI.
Build and maintain LLM pipelines including prompt engineering, fine-tuning, and RAG.
Collaborate across product, engineering, and analytics teams to align on data and AI initiatives.

Requirements

Must be located in the United States for this remote role.
10+ years of software engineering experience with strong full-stack and data engineering skills.
Proficiency in C#, .NET Core, Python, SQL, and cloud platforms (Azure preferred).
Experience with LLM concepts including prompt engineering, fine-tuning, and RAG.
Familiarity with CI/CD pipelines, TDD, and Agile methodologies.

Nice to have

Experience with Databricks, Microsoft Fabric, and OpenAI APIs.

Culture & Benefits

Remote-first workforce with flexible work culture.
Medical, dental, and vision insurance.
401(k) program with employer match.
Flexible paid time off and generous parental leave.
Volunteer for vacation and tuition reimbursement program.
Pet insurance, legal and identity protection.

Hiring process

Application through official careers page only.
Technical interviews and code reviews.
Evaluation of cross-functional collaboration and leadership skills.