Staff Frontier Agents Engineer (Applied Artificial Intelligence)

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.

- 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
- 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
- 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 integrating AI systems into enterprise software environments
- 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