Gen Ai Engineer

Infosys; Kolkata; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

Infosys is seeking experts to design and develop GenAI applications using Python and enterprise LLM platforms, and to build scalable data pipelines for diverse data types.

You will implement RAG systems and vector-based search, integrate LLMs with enterprise apps via APIs, and develop cloud-native AI services on major clouds and Databricks/Snowflake.

Qualifications

• Design and develop GenAI applications using Python and enterprise LLM platforms.

Responsibilities

• Build scalable data pipelines for structured and unstructured data processing.

Skills

Python

SQL

ETL/ELT

Data Modeling

Data Quality

Cloud-native Development

API Integration

Data Engineering

Document Processing

Workflow design

LLM development

RAG

Prompt Engineering

AI Coding Assistants

RAG Data Pipelines

LLM Data Integration

AI Service Integration

Scalable AI Deployments

Agent Orchestration

Tool Calling

LangGraph

LangChain

Hugging Face

OpenAI

Tools

LangChain

LangGraph

Hugging Face

OpenAI

Anthropic

Gemini

Job description

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

• 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.
• 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.