Description

You will lead the design, development, and deployment of enterprise-scale data and AI solutions.

Responsibilities

• Design and deploy scalable AI solutions using LangChain, LangGraph, and n8n for agent orchestration.
• Architect, implement, and optimize LLMs and agentic AI workflows for business automation.
• Develop and manage MCP-based solutions to enhance model interpretability and context management.
• Build scalable, secure data pipelines leveraging AWS and Snowflake for structured and unstructured data.
• Partner with cross-functional teams to ensure solutions meet regulatory and security requirements.

Required Skills

• 8+ years of experience in data engineering or AI solution development.
• Proven expertise in Large Language Models (LLMs), agentic AI systems, and Model Context Protocol (MCP).
• Hands-on experience with LLM deployment, fine-tuning, and integration via AWS Bedrock.
• Strong knowledge of Snowflake and AWS services (Glue, S3, Lambda, SageMaker).
• Deep understanding of AI/ML frameworks, data pipelines, and cloud-native architectures.
• Proficiency in agentic AI design patterns and implementation.
• Experience with core skills: Llms, Mcp, Aws, Ai/ml Frameworks, Data Pipelines, Langchain, Langgraph, Rag.
• Experience with data governance, security, and compliance best practices.

Key Skills

Education

Any Graduate