Senior Frontier AI Agent Engineer (Applied AI)

Scale AI; New York (NY); On-site; USD 180,000 - 280,000; Full time

Benefits offered by this job

Health coverage

Learning stipend

Office visits and community events

Parental support

Job summary

Scale AI is seeking a Staff Frontier Agent Engineer (Applied AI) to bridge cutting-edge AI research with enterprise deployment. You will design and deploy intelligent systems that combine frontier models with structured knowledge, retrieval, and enterprise software.

You’ll work across a diverse portfolio of AI challenges, building multi-agent systems and customer intelligence platforms for enterprise clients. Strong experience with LLMs and production AI systems is essential.

Qualifications

• 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.
• 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.

Responsibilities

• Bridge cutting-edge AI research and production deployment for enterprise customers.
• Design, evaluate, and deploy intelligent systems combining frontier models with enterprise data.
• Develop multi-agent systems coordinating reasoning, tool use, and human oversight.
• Lead end-to-end experimentation from hypothesis to production rollout.
• Collaborate with customers to translate problems into scalable architectures.

Skills

Python programming

Machine learning fundamentals

LLMs

Production AI systems

Enterprise customer interaction

Cloud platforms

Tools

Docker

Kubernetes

CI/CD

Production observability

Job description

Scale AI is seeking a Staff Frontier Agent Engineer (Applied AI) to bridge cutting-edge AI research with enterprise deployment. You will design and deploy intelligent systems that combine frontier models with structured knowledge, retrieval, and enterprise software.

You’ll work across a diverse portfolio of AI challenges, building multi-agent systems and customer intelligence platforms for enterprise clients. Strong experience with LLMs and production AI systems is essential.