Senior AI Application Engineer (.NET)

Location: Atlanta, Georgia, USA; hybrid work with at least 3 days per week in-office

Company

hirify.global is a financial markets company offering enterprise technology and market infrastructure services.

What you will do

• Design, build, and maintain secure, scalable enterprise applications with C#, .NET/.NET Core, databases, AWS, Terraform, and modern web technologies.
• Develop backend APIs, microservices, cloud-native services, and full-stack solutions when needed.
• Integrate LLMs, RAG, vector search, embeddings, and agentic workflows into production applications.
• Contribute to architecture discussions, technical design reviews, code reviews, CI/CD pipelines, infrastructure automation, and cloud deployments.
• Collaborate with product, architecture, and engineering teams to solve complex business challenges.
• 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 experience 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.
• Strong problem-solving, communication, and collaboration skills, with the ability to balance engineering best practices and fast-moving AI technologies.
• Must be authorized to work in the U.S. without employment-based visa sponsorship now or in the future.

Nice to have

• Experience with LLMs, RAG architectures, vector databases, embeddings, semantic search, AWS Bedrock, or similar AI platforms.
• Experience building conversational AI applications, copilots, assistants, or agentic workflows.
• Experience with Docker, Elasticsearch, Jenkins, or other cloud-native and DevOps technologies.
• Experience implementing monitoring, evaluation, and observability practices for AI-powered applications.

Culture & Benefits

• Hybrid home/office schedule with at least 3 days per week in-office for this position.
• Full-time employment with base salary, annual bonus or commissions, equity, and benefits; exact compensation varies by candidate and business factors.
• Benefits include a 401(k) with 6% employer match, employee stock purchase discount, paid time off, and company-paid life and disability plans.
• Medical, dental, and vision coverage, health spending account contributions, paid flex days, and gym membership discounts.
• Paid parental leave, fertility benefits, bereavement leave, employee resource groups, volunteer days, education assistance, and professional development opportunities.
• Inclusive equal-opportunity workplace with reasonable accommodation throughout the hiring process.