Lead design and implementation of AI-powered solutions across product and engineering
Shape AI architecture strategy and automate with intelligent agent systems
Modernize software workflows with AI tooling and frameworks
Build scalable, observable, and governed AI systems
Bridge business needs with technical execution; promote responsible AI
Ensure security and governance for AI deployments

🎯 Requirements

5+ years AI/ML solution architecture; production-scale
Deep expertise in LLMs, prompt engineering, RAG, vector DBs
Hands-on with agent frameworks and orchestration (LangChain/LangGraph)
MCP protocol servers for agent-to-tool integration
Python proficiency; knowledge of Go or TypeScript
Cloud-native deployment on AWS/GCP/Azure with managed LLMs

🎁 Benefits

Equal opportunity employer; merit-based hiring
Reasonable accommodations available on request
Transparent, merit-based recruitment process
Global team with remote-friendly culture

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