Job Description:
- 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
Key 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
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 building production grade GenAI 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
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