Gen Ai Engineer

Job Description:

• We are looking for an AI Engineer to design, build, and deploy enterprise-grade Generative AI applications using cloud-native architectures and modern LLM ecosystems
• The successful candidate will bring strong data engineering fundamentals along with deep experience in Retrieval Augmented Generation (RAG) workflows, agentic systems, and AI service integration

Key Responsibilities:

• Design and develop GenAI applications using Python and enterprise LLM platforms
• Create scalable data pipelines for processing structured and unstructured data
• Implement Retrieval Augmented Generation (RAG) solutions and vector-based search systems
• Connect LLMs with enterprise applications via APIs and workflow automation
• Build cloud-native AI services on AWS, Azure, GCP, Databricks, DBRX, or Snowflake
• Develop agent-based solutions using LangChain and LangGraph
• Maintain data quality governance and security compliance across AI workflows
• Improve AI solution performance, scalability, and reliability

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

Additional Responsibilities:

• Experience with Hugging Face, LangChain, OpenAI, Anthropic, Gemini, or open-source LLMs
• Familiarity with knowledge graphs and semantic search
• Experience delivering production-grade GenAI solutions

Preferred Skills:

Technology->AI-Data science->AI-Data science,Technology->AI-Generative AI->Artificial Intelligence - BASIC,Technology->AI-Machine Learning->Databricks Machine Learning