Senior AI Engineer

Role Description

We're looking for a Senior AI Engineer to build production-grade AI-enabled capabilities for our enterprise solutions. This role is hands-on and delivery-focused:

• Implement RAG pipelines, agentic systems, and AI integrations using C#/.NET.
• Build services, APIs, frontend applications, and data layers that bring AI capabilities to users.
• Work under the technical direction of the Lead Azure AI Solution Architect.
• Collaborate on proof-of-concepts when needed, but own the engineering execution, code quality, and operational readiness of the delivered software.
• This is an individual contributor role with no direct reports.

Qualifications

• Bachelor’s degree in computer science, Information Technology, or similar Mathematics.
• 5+ years of professional software engineering experience with strong proficiency in C#/.NET.
• Practical experience implementing generative AI patterns and agentic approaches.
• Demonstrated proficiency with Clean Architecture and SOLID principles in production systems.
• Experience building frontend applications using Blazor, React, or comparable modern frameworks.
• Experience building API-first services (REST, versioning, documentation, secure-by-default design).
• Strong SQL skills including relational database design, stored procedures, query optimization, and data modeling.
• Experience with NoSQL databases, specifically MongoDB and Azure Cosmos DB.
• Working knowledge of Azure fundamentals and common services used in AI and enterprise solutions.
• Azure DevOps experience including YAML pipelines and CI/CD automation.
• Secure coding experience (authentication, authorization, secrets management, OWASP-aligned practices, code review rigor).
• Experience evaluating, implementing, or integrating enterprise AI platforms, tools, or services.
• Strong analytical and problem-solving skills.

Requirements

• Implement AI capabilities.
• Build RAG pipelines, agentic systems, multi-agent coordination, tool/function calling, and agent orchestration.
• Implement prompt engineering patterns, integrate with Azure OpenAI and other LLM services.
• Build and maintain C#/.NET services.
• Implement established solution designs applying Clean Architecture, SOLID principles, and proven patterns.
• Develop frontend experiences using Blazor, React, or other modern frontend frameworks.
• Implement API-first endpoints and integrations.
• Design and implement database solutions.
• Integrate Azure cloud services.
• Create and maintain CI/CD pipelines.
• Apply secure coding practices.
• Ensure code quality and reliability.
• Produce engineering documentation.
• Evaluate and implement enterprise AI platforms and tools.
• Research emerging AI technologies and industry trends.
• Support AI platform enablement and operationalization.
• Collaborate on AI solution architecture and technical strategy.

Benefits

• 401(k) with employer match.
• Health, dental, and vision insurance.
• Paid time off and 10 paid holidays.
• Employee stock purchase plan.
• Remote work flexibility.