Set tech direction across multiple services and teams with broad autonomy
Define AI platform patterns: agent orchestration, tooling, governance, evaluation
Own reliability, testing, CI/CD, and operational standards
Provide technical leadership and influence staffing/roadmap
Embed with teams to deliver complex, high-value functionality
Hands-on: design and build production Python AI systems

🎯 Requirements

Principal-level leader with deep Python AI stack expertise
Python backend development; production APIs and services
AWS cloud-native, event-driven systems
GenAI / LLM engineering: RAG, embeddings, prompting, guardrails
Agent tooling and coordination patterns (MCP)
Data persistence across relational, key-value, document, and warehouse stores; async access

🎁 Benefits

Remote work
Career advancement & professional development
Open PTO + holidays
Health, Dental & Vision Insurance
401(k) + Employer Match
LinkedIn Learning Platform

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