Summary

Senior ML Engineer role focused on AI research and portability across models, providers, agent runtimes, and deployment environments. The work combines Python research software, model routing, retrieval and memory systems, agent interoperability, evaluation infrastructure, and production-grade distributed services.

Responsibilities

• Design and evaluate per-turn model routers
• Build portable provider and protocol abstractions
• Define schemas and contracts for agents
• Adapt and validate skills across harnesses
• Research portable memory and context systems
• Create benchmarks for quality and portability
• Build reproducible research and test infrastructure