Description

Design and build scalable GenAI solutions, including agent-based architectures and RAG pipelines, while driving POCs into production.

This role is hybrid.

Responsibilities

• Design and build agent frameworks and AI-powered automation workflows.
• Develop and maintain RAG pipelines and integrate with Model Context Protocols (MCPs).
• Operate proofs of concept into scalable, production-ready solutions.
• Partner with cross-functional teams to evangelize and adopt AI solutions internally.
• Handle full-stack engineering, from coding and architecture to infrastructure design.

Required Skills

• 5+ years of experience in GenAI, LLM engineering, and AI workflow development.
• Hands-on expertise building working agents and AI tools.
• Strong proficiency with Python for AI/agent development.
• Experience with SQL for data access, transformation, and querying large datasets.
• Strong understanding of AWS cloud infrastructure for deploying and scaling AI solutions.
• Proven ability to build from scratch and iterate quickly in high data volume environments.

Preferred Skills

• Experience with Model Context Protocols (MCPs) and multi-component systems.
• Track record of driving adoption of technical solutions across business and engineering teams.

Key Skills

Education

Any Gradute