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
Solid 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.
Solid 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

📌 Ai Engineer Gen Ai, Gcp/ Snowflake/aws Bengaluru (India)
🏢 Infosys
📍 India