Role overview

Scale AI is seeking a Frontier Agents Engineer to bridge cutting-edge AI research with production deployment. You’ll work directly with enterprise customers across finance, healthcare, manufacturing, media, and telecommunications to design, evaluate, and deploy intelligent systems that combine frontier models with structured knowledge, retrieval systems, and traditional machine learning.

Key responsibilities

Design and deploy production AI agents that leverage the latest advances in large language models, reasoning, retrieval, memory, and tool use.
Architect intelligent systems that integrate LLMs, traditional machine learning, structured knowledge, and enterprise data into reliable production workflows.
Own the full experimentation lifecycle, from hypothesis generation through production rollout, including designing evaluation frameworks using offline benchmarks, A/B testing, and human evaluation.
Build production-quality AI systems with emphasis on reliability, observability, latency, safety, and cost, including designing guardrails and monitoring pipelines for high-stakes environments.
Partner directly with enterprise customers to understand their business challenges, translate ambiguous problems into production AI architectures, and prototype and validate solutions.
Continuously evaluate newly released frontier models and techniques to determine where they improve quality, latency, reliability, or cost.
Develop multi-agent systems that coordinate reasoning, planning, tool execution, and human oversight.

Requirements

Four or more years of software engineering, machine learning, or applied AI experience.
Strong Python programming skills.
Demonstrated experience building production AI systems using large language models.
Experience with modern AI tooling, including OpenAI, Claude, MCP, agent frameworks, vector databases, or retrieval systems.
Strong understanding of machine learning fundamentals and modern language models.
Experience designing or evaluating AI systems using quantitative metrics.
Excellent communication skills and ability to work directly with enterprise customers.

What makes this role worth considering

This role offers exposure to the full lifecycle of modern AI systems across diverse industries and use cases rather than focusing on a single model or product. You’ll work on varied challenges ranging from multi-agent research systems to customer intelligence platforms, healthcare copilots, and autonomous workflows for major enterprises, allowing you to rapidly develop intuition for what makes AI systems successful in production.