What are the responsibilities and job description for the Senior Gen AI Engineer position at Jobs via Dice?
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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:
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 Senior Gen AI Engineer 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.
- 5 years experience preferred
- Bachelor s or Master s degree in Computer Science, Data Science, AI/ML, or a related field.
- Experience in developing PoCs or production-grade AI applications.