Job Description
We are seeking a Junior AI Engineer to design, build, and deploy enterprise-grade Generative AI applications leveraging cloud-native architectures and contemporary 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.

Roles Responsibilities
1. Design and develop GenAI applications using Python and enterprise LLM platforms.
2. Build scalable data pipelines for structured and unstructured data processing.
3. Implement Retrieval-Augmented Generation (RAG) systems and vector-based search solutions.
4. Integrate LLMs with enterprise applications through APIs and workflows.
5. Develop cloud-native AI services on AWS, Azure, GCP, Databricks (DBRX), or Snowflake.
6. Create agent-based solutions using LangChain and LangGraph.
7. Ensure data quality, governance, and security compliance across AI workflows.
8.



Optimize performance, scalability, and reliability of AI solutions.

Technical Requirement
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 Responsibility
1+ years of experience with Hugging Face, LangChain, OpenAI, Anthropic, Gemini, or open-source LLMs.
2. Familiarity with knowledge graphs and semantic search.
3. Experience building production-grade GenAI solutions

Educational Requirement
Bachelor of Engineering

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

Service Line
Data Analytics Unit

📌 Python Ml Genai Engineers Chennai
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