Generative AI Engineer

Generative AI Engineers

Responsibilities

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

Skills Required

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

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