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

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