Senior AI Application Engineer (.NET)

Nasdaq

Atlanta, GA • 19m ago • On-site

Senior

On-site

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Quick Facts

  • Role: Senior AI Application Engineer (.NET)

  • Focus: Enterprise application development with integrated AI capabilities

  • Work model: Hybrid in Atlanta, Georgia (at least 3 days/week in-office)

Description

Design, build, and scale secure, production-ready enterprise applications using C#/.NET and cloud-native services. Integrate AI capabilities—such as LLMs, RAG, vector search, embeddings, and agentic workflows—into enterprise-grade software to automate workflows and unlock value from enterprise data.

Responsibilities

  • Design, build, and maintain scalable, secure enterprise applications using C#, .NET/.NET Core, SQL Server, PostgreSQL, AWS, Terraform, and modern web technologies (e.g., Vue.js)

  • Develop backend APIs, microservices, and cloud-native services; contribute across the full stack when needed

  • Integrate AI capabilities (LLMs, RAG, vector search, embeddings, agentic workflows) into enterprise applications

  • Write clean, maintainable, production-ready code; participate in architecture discussions and code reviews

  • Contribute to CI/CD pipelines, infrastructure automation, and cloud deployments

  • Troubleshoot and resolve issues across development and production environments

Requirements

  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, or equivalent practical experience

  • 4–5+ years of professional software development building enterprise applications

  • Strong experience with C#, .NET/.NET Core, software design, and backend development

  • Experience building APIs, microservices, and cloud-native applications

  • Experience with modern frontend frameworks such as Vue, React, or Angular

  • Strong knowledge of SQL Server, PostgreSQL, MySQL, or similar relational databases

  • Experience with AWS or Azure, Terraform, CI/CD pipelines, source control, and modern software development practices

  • Recent hands-on experience incorporating AI capabilities into existing products, platforms, workflows, or production software

  • Authorization to work in the U.S. without employment-based visa sponsorship

Benefits

  • Base salary plus additional compensation (bonuses and equity)

  • 401(k) with 6% employer match; Employee Stock Purchase Program (15% discount)

  • Student loan repayment up to $10k; company paid life and disability plans; generous paid time off

  • Comprehensive medical, dental, and vision; health spending account; flex days; gym membership discounts

  • Paid parental leave; fertility benefits; paid bereavement leave

  • Hybrid home/office schedule (for most positions); education assistance and professional development

  • Community support via gift matching, employee resource groups, and paid volunteer days

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