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

Job Summary 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