AI Engineer (Gen AI, Gcp/ snowflake/aws)

Infosys; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Infosys in Bengaluru seeks an AI Engineer (DBRX, AWS, Azure, GCP, Snowflake variants) to design and implement data-driven AI solutions for enterprise workloads.

The role requires strong Python programming, data engineering, cloud platform experience, and hands-on work with LLMs, RAG, prompts, and tool integration. Familiarity with LangChain, Snowflake, and vector stores is highly valued.

Qualifications

• Strong programming experience in Python.
• Hands-on experience with Generative AI, LLMs, Prompt Engineering, and RAG.
• Experience with frameworks such as LangChain, LlamaIndex, Hugging Face, OpenAI APIs, Vertex AI / Bedrock.
• Strong cloud experience in AWS or GCP.
• Hands-on experience with Snowflake including data integration and optimization.

Skills

Python

SQL

ETL/ELT

Data Modeling

Data Quality

Cloud-native Development

API Integration

Data Engineering

ETL

Document Processing

Workflow design

LLM development

RAG

Prompt Engineering

AI Coding Assistants

Education

MCA

MSc

MTech

BTech

Tools

LangChain

LlamaIndex

Hugging Face

OpenAI APIs

Vertex AI

Bedrock

Snowflake

Pinecone

FAISS

ChromaDB

Weaviate

Docker/Kubernetes

Job description

Job Summary

AI Engineer (DBRX, AWS, Azure, GCP, Snowflake variants)

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
• Semantic Layers
• Data Governance
• Memory Management
• Autonomous Agents
• Agent Routing
• State Management
• Memory Handling
• Tool Integration

Technical Requirements

• Strong programming experience in Python.
• Hands-on experience with Generative AI, LLMs, Prompt Engineering, and RAG.
• Experience with frameworks such as LangChain, LlamaIndex, Hugging Face, OpenAI APIs, Vertex AI / Bedrock.
• Strong cloud experience in AWS or GCP.
• Hands-on experience with Snowflake including data integration and optimization.
• Experience with vector databases such as Pinecone, FAISS, ChromaDB, or Weaviate.
• Knowledge of REST APIs, microservices, and containerization (Docker/Kubernetes).
• Familiarity with MLOps and CI/CD practices.

Educational Requirements

• MCA
• MSc
• MTech
• BTech

Preferred Skills

• Technology->AI-Data science->Python
• Technology->Cloud Platform->Amazon Webservices DevOps->Amazon CodeStar
• Technology->Cloud Platform->GCP Data Analytics
• Technology->Data on Cloud-DataStore->Snowflake

Service Line

Data Analytics Unit