Python ML_GenAI Engineers

Job Description:

• We are seeking a Junior 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:

• 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:

• 1 years of 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->Generative AI - Basic->retrieval augmented generation (rag)