About the Role :

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.

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.

Qualifications :

Work Experience : 5+ Years (At least 1 year or more in AI Engineering).

Location : Gurgaon/Noida/Bengaluru/Hyderabad/Chennai.

Work Mode : Hybrid.

Notice Period : 30 days maximum.