Senior Frontier Agents Engineer (Applied AI)

Responsibilities: Design and deploy production AI agents leveraging LLMs, reasoning, retrieval, memory, and tool use Architect systems combining LLMs, traditional ML, knowledge, and enterprise data into production workflows Develop multi-agent systems coordinating reasoning, planning, tool use, and human oversight Translate frontier AI research into production by evaluating new models and techniques Own the full experimentation lifecycle from hypothesis to production rollout and evaluate using offline and online methods Build production-quality AI systems with emphasis on reliability, observability, safety, and cost Collaborate with infrastructure teams to deploy AI systems securely in enterprise cloud environments Create human-in-the-loop workflows integrating AI automation with expert oversight Partner with enterprise customers to translate ambiguous problems into production architectures Identify reusable patterns to scale deployments across organizations

Key requirements: 5+ years in software engineering, ML, or applied AI Strong Python programming skills Experience building production AI systems using LLMs Experience with OpenAI, Claude, MCP, agent frameworks, vector databases, or retrieval systems Strong understanding of ML fundamentals and modern language models Experience designing or evaluating AI systems using quantitative metrics Excellent communication and ability to work with enterprise customers Excellent communication with enterprise customers Cross-functional collaboration Problem-solving and analytical thinking OpenAI, Claude, MCP agent frameworks vector databases or retrieval systems