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