Solutions Architect (AI, Python/Data)

📋 Description

• Design and build cloud native data, LLM based and agentic AI solutions.
• Implement and optimize RAG systems for production use cases.
• Own the technical direction from discovery to delivery.
• Write production grade Python for AI integrations, backends, and REST APIs.
• Build and maintain ETL/ELT workflows with orchestration tools.
• Deploy ML and LLM based solutions; apply MLOps and LLMOps practices.

🎯 Requirements

• 7+ years building production AI/ML systems.
• Hands-on with production LLM based apps and agentic workflows.
• Experience with LLM APIs such as OpenAI, Anthropic, or AWS Bedrock.
• Python skills: OOP, design patterns, clean architecture.
• RESTful APIs with FastAPI, Django REST, or Flask.
• Docker and Kubernetes experience.

🎁 Benefits

• Work with cutting edge AI and cloud solutions.
• Internal training programs with AWS and professional certifications.
• Career growth toward SA or beyond, engineers development.
• Access to latest AI tools and premium subscriptions.
• Remote with flexible hours.
• Equipment and private medical insurance.