AI Engineer

We are seeking a Senior AI Engineer to design, develop, and deploy enterprise-grade AI solutions leveraging Microsoft Azure, C#, and the .NET ecosystem. This role will focus on building intelligent applications, integrating Large Language Models (LLMs), developing scalable APIs, and delivering AI-powered solutions that drive business value.

This is an excellent opportunity for a hands-on engineer who enjoys working at the intersection of software engineering, cloud architecture, and artificial intelligence.

Responsibilities

• Design, develop, and maintain AI-powered applications using C# and .NET
• Build and deploy solutions utilizing Azure AI Services, Azure OpenAI, and related Azure technologies
• Create scalable microservices, APIs, and backend systems to support AI workloads
• Develop Retrieval-Augmented Generation (RAG) solutions leveraging vector databases and enterprise data sources
• Integrate AI capabilities into existing business applications and platforms
• Collaborate with product, engineering, and business stakeholders to define AI use cases and technical requirements
• Optimize AI performance, scalability, security, and cost within Azure environments
• Establish best practices for prompt engineering, model evaluation, observability, and governance
• Participate in architecture discussions and mentor junior developers and engineers
• Stay current with emerging AI technologies, frameworks, and industry trends

Qualifications:

Required Qualifications

• 5+ years of software development experience with C# and .NET
• 2+ years of experience designing and implementing AI/ML or Generative AI solutions
• Strong experience with Microsoft Azure
• Hands-on experience with:
• Azure OpenAI
• Azure AI Services
• Azure Functions
• Azure App Services
• Azure Storage
• Azure Cosmos DB and/or SQL Server
• Experience building and consuming RESTful APIs
• Strong understanding of cloud-native architecture and microservices
• Experience with Git, CI/CD pipelines, and DevOps practices
• Excellent problem-solving and communication skills

Preferred Qualifications

• Experience with LLM integration, prompt engineering, and RAG architectures
• Knowledge of LangChain, Semantic Kernel, Microsoft AI SDKs, or similar frameworks
• Experience with vector databases and semantic search technologies
• Azure certifications such as:
• Azure AI Engineer Associate
• Azure Solutions Architect Expert
• Experience deploying AI solutions in enterprise environments
• Knowledge of containerization technologies such as Docker and Kubernetes

Compensation

About Us

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