Python/GenAI Solutions Architect

📋 Description

• Embed with the client team for the engagement duration
• Ground architecture in how work is actually performed
• Write production-grade Python for AI integrations, services, and APIs
• Design and optimize RAG systems and agentic AI in production
• Own system design decisions across the engagement
• Present architecture and defend trade-offs to client stakeholders

🎯 Requirements

• 7+ years building and running production systems
• Production experience with RAG systems and live LLM workflows
• Backend development with Flask, Django REST, or FastAPI
• Hands-on AWS experience (SageMaker, Bedrock, Lambda, ECS, S3, SQS, ECR, etc.)
• Experience with LLM APIs (OpenAI, Anthropic Claude, AWS Bedrock)
• Strong Python proficiency (OOP, design patterns, clean architecture, performance)

🎁 Benefits

• Growing AI delivery practice with tooling/frameworks
• Remote-friendly culture
• High-impact role with leadership visibility
• Strong earning potential with bonuses
• Work with cutting-edge AI and cloud solutions
• Contract or full-time model