Senior Generative AI Engineer

About

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. Youll 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. (ref: hirist.tech)