Gen Ai Engineer

We are seeking an AI Engineer to design, build, and deploy enterprise-grade Generative AI applications leveraging cloud-native architectures and modern LLM ecosystems. The ideal candidate will have strong data engineering foundations combined with expertise in Retrieval-Augmented Generation (RAG), agentic workflows, and AI service integration. Technical Requirements: Core Skills: Python, SQL, ETL/ELT, Data Modeling, Data Quality, Cloud-native Development, API Integration, Data Engineering, ETL, Document Processing, Workflow design, knowledge of LLM development, RAG, Prompt Engineering, AI Coding Assistants Advanced Skills: RAG Data Pipelines, LLM Data Integration, AI Service Integration, Scalable AI Deployments, Agent Orchestration, Tool Calling, LangGraph, LangChain Responsibilities: 1. Design and develop GenAI applications using Python and enterprise LLM platforms. 2. Build scalable data pipelines for structured and unstructured data processing. 3. Implement Retrieval-Augmented Generation (RAG) systems and vector-based search solutions. 4. Integrate LLMs with enterprise applications through APIs and workflows. 5. Develop cloud-native AI services on AWS, Azure, GCP, Databricks (DBRX), or Snowflake. 6. Create agent-based solutions using LangChain and LangGraph. 7. Ensure data quality, governance, and security compliance across AI workflows. 8. Optimize performance, scalability, and reliability of AI solutions. Preferred Skills: Technology->AI-Data science->Machine Learning,Technology->AI-Generative AI->Artificial Intelligence - BASIC,Technology->AI-Generative AI->Generative AI for Data Analytics