Python Machine Learning and Generative AI Engineer

Infosys; Chennai; Sur place; INR 1 200 000 - 1 800 000; Plein temps

Résumé du poste

Infosys Chennai is seeking Python ML_GenAI Engineers to design and build GenAI applications using Python and enterprise LLM platforms. You will create scalable data pipelines for structured and unstructured data and integrate LLMs via APIs and workflows.

The role focuses on retrieval augmented generation, vector-based search, data quality and governance, and cloud-native AI services on AWS, Azure, GCP, Databricks, or Snowflake.

Qualifications

• 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.

Responsabilités

• 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.

Connaissances

Python

SQL

ETL/ELT

Data Modeling

Data Quality

Cloud-native Development

API Integration

Data Engineering

Document Processing

Workflow design

LLM development

RAG

Prompt Engineering

LangChain

LangGraph

AI Service Integration

Tool Calling

Agent Orchestration

Scalable AI Deployments

Outils

LangChain

LangGraph

Hugging Face

OpenAI API

Description du poste

Python ML_GenAI Engineers

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

Experience

• 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

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.