Generative AI Engineer

About the Role

As a Generative AI Engineer at LTM, you will be at the forefront of harnessing the power of AI to solve real-world problems. Your primary responsibility will be to design, build, and scale AI-powered solutions using Azure AI services, Azure AI Foundry, and Copilot Studio, integrating them seamlessly into enterprise-grade .NET microservices architectures.

Your work will directly influence intelligent automation of business workflows, enterprise-grade AI adoption, and scalable AI-driven customer and internal platforms.

Key Responsibilities

• Design and implement AI-driven systems using Azure OpenAI, Azure AI Search, Azure ML, Azure AI Foundry, and Microsoft Copilot Studio.
• Build Retrieval-Augmented Generation (RAG) pipelines, including chunking strategies, embedding and vector search optimization.
• Develop multi-agent and conversational AI systems.
• Build and maintain scalable .NET Core microservices.
• Develop REST APIs integrating AI services into enterprise platforms.
• Ensure high performance, security, and resilience in distributed systems.

Skills & Qualifications

• Strong expertise in .NET / C# (microservices architecture).
• Experience building and consuming REST APIs.
• Strong understanding of cloud-native architecture (Azure).
• Hands-on experience with Azure OpenAI, Azure AI Search, Azure ML, RAG pipelines, and Copilot Studio.
• Experience with Vector DB (Azure AI Search / Cosmos DB), Relational DB (SQL Server), and NoSQL (Cosmos DB / MongoDB).
• Strong knowledge of Python (AI/ML scripting).
• Experience with Microsoft agent framework (preferred) / LangChain.
• Bachelor's degree in Computer Science or related field.

What You'll Learn

As a Generative AI Engineer at LTM, you will have the opportunity to learn and grow in a dynamic and innovative environment. You will gain hands-on experience with cutting-edge AI technologies, including Azure AI services, Azure AI Foundry, and Copilot Studio.

You will also develop skills in designing and implementing AI-driven systems, building RAG pipelines, and developing multi-agent and conversational AI systems.

Additionally, you will learn about cloud-native architecture, data pipelines, and ETL processes, as well as AI data preparation and indexing.

Resume Tip

When applying for this role, make sure to highlight your experience with Azure AI services, Azure AI Foundry, and Copilot Studio. Include specific examples of AI-driven systems you have designed and implemented, as well as your experience with RAG pipelines and multi-agent architecture.

Also, be sure to emphasize your skills in .NET / C#, cloud-native architecture, and data pipelines, as these are critical differentiators for this role.