Job Description

Job Description
As a Generative AI Engineer, you will design, develop, and deploy AI-powered solutions using large language models (LLMs), vector databases, and cloud-based infrastructure. You’ll be responsible for building and fine-tuning generative AI models, developing retrieval-augmented generation (RAG) systems, and integrating GenAI capabilities into scalable applications.

Key Responsibilities

· Develop, fine-tune, and deploy LLM-based applications using frameworks like LangChain, Semantic Kernel, or LlamaIndex.

· Design and implement RAG pipelines using vector databases (Azure Cognitive Search, Pinecone, FAISS, Weaviate).

· Build chatbots, copilots, and content generation tools using OpenAI, Azure OpenAI, or Hugging Face models.

· Containerize and deploy GenAI services using Docker, FastAPI, and Azure Functions.

· Collaborate with cross-functional teams to identify and operationalize GenAI use cases.

· Implement monitoring, evaluation, and prompt optimization workflows.

· Manage prompt engineering, model selection, and performance tracking in production.