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.
- Robust 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 (Bengaluru)
🏢 Infosys
📍 Bengaluru