Senior ML Engineer (AI Research/ Portability)

📋 Description Design, train, and evaluate ML models and AI agent architectures. Develop portable abstractions across models, providers, protocols, tools, and environments. Build routing systems and memory/retrieval architectures for scalable AI. Create evaluation frameworks and benchmarks for quality and portability. 🎯 Requirements Strong ML fundamentals; experience with LLMs or agent-based systems. Expertise in model routing, retrieval systems, memory architectures, evaluation frameworks Experience building and evaluating modern language-model or agent-based systems with multi-turn Proven ability to design, execute, and analyze ML experiments with solid statistics; strong Python Experience with APIs, distributed services, data schemas, testing, observability, version control Ability to consider security, privacy, provenance, and reliability in AI systems; strong 🎁 Benefits Competitive compensation package. Career growth opportunities and continuous learning support. Flexible working environment with strong ownership and autonomy. Opportunity to work on impactful AI research and engineering projects. Collaborative culture with international teams.