Frontier Agents Engineer (Applied AI)
Core
Design, evaluate, and deploy production AI agents that combine frontier LLMs, reasoning, retrieval, and enterprise software to automate complex workflows for Fortune 100 companies.
Role type
Senior IC Frontier Agent Engineer (Applied AI)
Builds
Production AI agents, multi-agent systems, customer intelligence layers, and retrieval pipelines for enterprise clients.
Domain
Enterprise AI, Applied AI, Large Language Models, Agent Systems
Deliverable
production ML models | product features
Required skills
Python, LLMs, agent frameworks, vector databases, retrieval systems, machine learning fundamentals, quantitative evaluation metrics
Preferred skills
Autonomous systems, reasoning/retrieval/memory/planning, RAG, knowledge graphs, fine-tuning/distillation/RL, multimodal AI, distributed systems, cloud platforms (AWS/Azure/GCP), CI/CD, observability
Technologies
OpenAI, Claude, MCP, Docker, Kubernetes
Responsibilities
Design and deploy production AI agents leveraging LLMs and tool use; Architect intelligent systems combining LLMs with traditional ML and enterprise data; Engineer retrieval pipelines and memory systems for agent reasoning; Develop multi-agent systems coordinating planning and tool execution; Own the full experimentation lifecycle from hypothesis to rollout; Partner with enterprise customers to translate business problems into AI architectures.
Seniority
Senior, hands-on IC
