Gen Ai Engineer

Infosys Limited; Kolkata District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Infosys Limited, a leader in AI-driven solutions, seeks a GenAI engineer to design and deploy AI applications using Python with enterprise LLM platforms. You will build data pipelines for structured and unstructured data, implement RAG systems, and integrate LLMs with enterprise apps via APIs.

Responsibilities include developing cloud-native AI services across AWS, Azure, GCP, and Databricks, and creating agent-based solutions with LangChain and LangGraph.

Qualifications

• Bachelor of Engineering required.
• 3-5 years of work experience in GenAI or AI engineering.
• Proficiency with Python, ML tooling and cloud-native development.

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.

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

Education

Bachelor of Engineering

Tools

LangChain

LangGraph

OpenAI

Anthropic

Gemini

AWS

Azure

GCP

Databricks

Snowflake

Job description

Job ID/Reference Code INFSYS-INDEED1-256131

Work Experience 3 - 5 Years

Educational Requirements

Bachelor of Engineering

Service Line

Data & Analytics Unit

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.

Additional Responsibilities

1. 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.

Technical and Professional 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

Preferred Skills:

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