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 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:

- 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)

📌 Python ML_GenAI Engineers (Chennai)
🏢 Infosys
📍 Chennai