Qualifications

• 5-7 years of hands-on production experience with major LLM platforms, including optimization techniques for cost and latency.
• Proficient in backend development using C#/.NET and/or Python.
• Strong Azure expertise in App Service, Container Apps, Functions, Key Vault, and Managed Identity.
• Experience with CI/CD tools such as GitHub Actions or Azure DevOps and infrastructure-as-code methodologies like Bicep or Terraform.
• Demonstrated experience applying security best practices, particularly with OWASP guidelines for LLM and Agentic applications.
• Expertise in GitHub workflows, including security-conscious practices such as branch protection and code scanning.
• Familiarity with REST and OData APIs, focusing on least-privilege data access requirements.

Responsibilities

• Design and develop production applications leveraging commercial LLMs, ensuring optimized tool use and cost management.
• Architect and implement agentic workflows and secure integration with internal systems, focusing on data safety.
• Deploy and manage Azure services, utilizing security features such as Key Vault and Managed Identity.
• Establish and maintain CI/CD pipelines for code deployment, ensuring a secure and efficient workflow.
• Provide observability for systems through structured logging and telemetry from initial deployment.
• Create guidelines for human-in-the-loop interactions for critical processes, ensuring risk management.
• Enforce security protocols in GitHub workflows through automated tools and practices.

Benefits

• Opportunity to work with cutting-edge AI technologies and large language models.
• Collaborative work environment focused on security-conscious engineering.
• Access to continuous learning and development opportunities in AI and cloud-based services.
• Potential for career growth within a rapidly evolving field.
• Engagement with cross-functional teams and complex business systems.