Solutions Architect (GenAI, Python/Data, AWS)

📋 Description

• Design and build cloud-native data, LLM-based, and agentic AI solutions.
• Implement and optimize RAG systems for production use.
• Own the technical direction of client engagements; go-to authority.
• Write production-grade Python for AI integrations, backend services, and REST APIs.
• Deploy ML/LLM-based solutions and implement MLOps, LLMOps, and AgentOps.
• Lead architecture reviews, design docs, and mentor engineers.

🎯 Requirements

• Mindset: Full-stack across AI, backend, and cloud.
• Using AI tools in daily workflow (Claude Code, Copilot, etc.).
• Proactive and self-directed; own outcomes end-to-end.
• B2+ English; collaborate across distributed teams.
• Hands-on experience building production LLM-based apps.
• Experience with LLM APIs (OpenAI, Anthropic, AWS Bedrock).

🎁 Benefits

• Cutting-edge AI and cloud solutions.
• Internal training programs and certifications.
• Career growth toward senior architect roles.
• Remote with flexible hours.
• Private medical insurance.
• Paid sick leave, vacation, and public holidays.