Microsoft .NET core LLM

As a Microsoft .NET Core LLM Engineer at Laitkor Consultancy Services, you will play a pivotal role in designing, developing, and deploying robust applications that leverage Large Language Models (LLMs) to deliver innovative solutions. You will work with cutting-edge technologies and collaborate with a dynamic team to build next-generation AI-powered products. **Key Responsibilities:** - Design, develop, and maintain high-performance, scalable, and secure applications using Microsoft .NET Core and C#. - Integrate various Large Language Models (LLMs) and AI services into .NET Core applications. - Implement engineering techniques, RAG patterns, and fine-tuning strategies to optimize LLM performance. - Develop RESTful APIs and gRPC services for seamless communication with LLM services. - Collaborate with data scientists, AI researchers, and product managers to translate requirements into technical specifications. - Ensure security, reliability, and performance of LLM-integrated systems. - Write clean, well-documented, and testable code following best practices. - Participate in code reviews, architectural discussions, and mentor junior developers. - Stay updated with advancements in .NET Core, Azure, and Large Language Model technologies. - Troubleshoot and debug complex issues across the application stack. **Required Qualifications:** - Bachelor's degree in Computer Science, Software Engineering, or related field. - 5+ years of experience in software development focusing on Microsoft .NET Core and C#. - Proven experience working with Large Language Models (LLMs) or other AI/ML services. - Understanding of prompt engineering, token management, and common LLM use cases. - Experience with Azure cloud services and designing RESTful APIs. - Proficiency in object-oriented programming, design patterns, and software architecture. - Familiarity with relational and/or NoSQL databases and version control systems like Git. - Strong problem-solving, analytical, and communication skills. **Preferred Qualifications:** - Master's degree in a relevant field. - Experience with other cloud platforms and AI/ML offerings. - Knowledge of containerization technologies like Docker and Kubernetes. - Familiarity with message queues or event streaming platforms. - Exposure to front-end technologies such as React, Angular, or Vue.js. - Contributions to open-source projects related to .NET or AI.,