Staff Frontier Agents Engineer (Applied AI)

Join Scale AI as a Staff Frontier Agent Engineer (Applied AI) and bridge the gap between cutting-edge AI research and production deployment. You'll work directly with enterprise customers to design, evaluate, and deploy intelligent systems that combine frontier models with structured knowledge, retrieval, traditional machine learning, and enterprise software. This role offers the opportunity to work across a diverse portfolio of AI challenges spanning multiple industries and use cases.

Responsibilities

• Concevoir et déployer des agents d'IA de production qui tirent parti des dernières avancées en matière de modèles de langage.
• Traduire la recherche en IA de pointe en systèmes de production en évaluant rapidement de nouveaux modèles, techniques de prompt et architectures d'agents.
• Collaborer directement avec les clients d'entreprise pour comprendre leurs défis commerciaux, leurs données et leurs opérations.

Requirements

• Excellent communication skills and the ability to work directly with enterprise customers
• Strong understanding of machine learning fundamentals and modern language models
• 8+ years of software engineering, machine learning, or applied AI experience
• Strong Python programming skills

Experience building production AI systems using LLMs

• Experience with modern AI tooling, including OpenAI, Claude, MCP, agent frameworks, vector databases, or retrieval systems
• Experience designing or evaluating AI systems using quantitative metrics

Experience building production AI agents or autonomous systems

• Deep understanding of reasoning, retrieval, memory, planning, and tool use
• Experience designing evaluation frameworks for LLMs and agentic systems
• Familiarity with multimodal AI systems and frontier foundation models

Experience building distributed production systems

• Experience with cloud platforms such as AWS, Azure, or GCP
• Experience with Docker, Kubernetes, CI/CD, and production observability
• Experience working directly with enterprise customers
• Ability to translate ambiguous business problems into technical architectures
• Strong written and verbal communication skills
• Experience leading technical workshops, architecture reviews, or customer design sessions

Preferred

• Experience with RAG, semantic search, knowledge graphs, customer intelligence systems, or structured knowledge representations
• Experience with fine-tuning, distillation, reinforcement learning, small language models, or model optimization
• Experience integrating AI systems into enterprise software environments

Pay

USD 265,000 - 331,000