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

Job Overview:

• AI Engineer specializing in DBRX with expertise in AWS, Azure, GCP, and Snowflake variants
• Essential Skills
• Proficient in Python, SQL, ETL, ELT, Data Modeling, Data Quality, Cloud-native Development, API Integration, Data Engineering, ETL, Document Processing, Workflow Design, and knowledge of LLM development and RAG
• Expertise in Prompt Engineering and AI Coding Assistants
• Advanced Skills
• Experience with RAG Data Pipelines, LLM Data Integration, AI Service Integration, Scalable AI Deployments, and Agent Orchestration using tools like LangGraph and LangChain
• Familiarity with Semantic Layers, Data Governance, Memory Management, Autonomous Agents, Agent Routing, State Management, and Memory Handling Tool Integration

Main Responsibilities:

• Design, develop, and implement Generative AI applications leveraging LLMs and foundational models
• Create AI solutions utilizing RAG (Retrieval Augmented Generation) architectures
• Construct and enhance AI pipelines using Python, LangChain, LlamaIndex, and vector databases
• Seamlessly integrate AI solutions with AWS, GCP, and Snowflake environments
• Fine-tune and assess LLMs for specific business domain applications
• Develop scalable APIs and microservices for AI model deployment
• Engage in collaboration with data engineers, ML engineers, and business stakeholders
• Apply prompt engineering techniques and optimize model performance
• Ensure data security, governance, and compliance in AI application development
• Monitor and enhance AI model performance in production settings

Technical Qualifications:

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

Preferred Qualifications:

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