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

📌 AI / ML Specialist (India)
🏢 Infosys
📍 India