Middle AI Engineer (GenAI Deployment)

📋 Description

• Productionize and deploy GenAI agents into client cloud (Azure primary, AWS fallback)
• Own MCP server architecture and deployment with container-first strategy (Docker)
• Deploy prediction APIs; containerize and host FastAPI-style services
• Set up CI/CD for agent and API deployments in GitHub Enterprise
• Manage Azure ML workspace config, compute provisioning, quotas, access management
• Implement basic observability: logging, health checks, alerting

🎯 Requirements

• 3+ years software engineering with hands-on AI/ML systems experience
• Strong Python background
• Hands-on Docker/containerization; able to design deployment from scratch
• Cloud experience with Azure and/or AWS; evaluate trade-offs
• Experience deploying/operating LLM-based agents or GenAI in production
• Familiarity with MCP or similar agent orchestration

🎁 Benefits

• Competitive benefits package
• Remote-friendly, collaborative environment
• Supportive of Ukraine expansion and high-impact work