AI Engineer

About the job

AI Application Development • Design and develop AI-powered applications using Generative AI and machine learning models. • Integrate Large Language Models (LLMs) such as OpenAI, Azure OpenAI, or other foundation models into enterprise applications. • Build AI copilots, chatbots, document intelligence solutions, and recommendation systems. RAG & AI Architecture • Implement Retrieval Augmented Generation (RAG) architectures using vector databases. • Develop pipelines for embedding generation, semantic search, and contextual retrieval. • Optimize prompts, context handling, and response accuracy. Backend Engineering (.NET) • Build scalable microservices and REST APIs using .NET Core / .NET 8+. • Integrate AI models into backend systems and enterprise platforms. • Implement asynchronous and event-driven processing for AI workloads. Data & AI Pipelines • Build pipelines for data ingestion, preprocessing, and model inference. • Work with structured and unstructured data including documents, text, and knowledge bases. AI Deployment & Operations • Deploy AI models and services using containerization and cloud platforms. • Implement monitoring, evaluation, and feedback loops for AI systems. • Ensure security, scalability, and performance of AI services.

Requirements

• Generative AI
• Machine Learning
• RAG architecture
• Microservices
• .NET Core
• APIs
• Pipelines

Preferred Technologies

• Generative AI
• Machine Learning
• RAG architecture
• Microservices
• .NET Core
• APIs
• Pipelines