Gen Ai Engineer

Infosys; Kolkata District; On-site; INR 1,200,000 - 2,500,000; Full time

Job summary

Infosys is seeking a GenAI Engineer to design and build AI-powered applications, data pipelines, and retrieval-augmented generation systems. The role focuses on integrating LLMs with enterprise workflows and delivering scalable, secure cloud-native services across AWS, Azure, GCP, and platforms like Databricks or Snowflake.

Responsibilities include creating agent-based AI solutions using LangChain and LangGraph, ensuring data quality and governance, and optimizing performance and reliability of

Qualifications

• 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.

Responsibilities

• Design and develop GenAI applications using Python and enterprise LLM platforms.
• Build scalable data pipelines for structured and unstructured data processing.
• Implement 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.

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

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.