Python ML_GenAI Engineers

Job Description:

• We are looking for a Junior AI Engineer to design, build, and deploy enterprise-grade Generative AI applications using cloud-native architectures and today’s LLM ecosystems
• The successful candidate will bring strong data engineering fundamentals along with hands-on 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
• Create scalable data pipelines for both structured and unstructured data processing
• Build Retrieval Augmented Generation (RAG) systems and implement vector-based search solutions
• Integrate LLMs with enterprise applications through APIs and workflow orchestration
• Develop 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 throughout AI workflows
• Improve AI solution performance, scalability, and reliability

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

Additional Responsibilities:

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

Preferred Skills:

Technology->AI-Data science->AI-Data science,Technology->AI-Machine Learning->ML Platform