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Senior Frontier Agents Engineer (Forward Deployed Engineering)

Scale AI· Enterprise Engineering
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San Francisco, CA$216k - $270kfull-timePosted 5mo ago

About the role

Senior Frontier Agent Engineer (Forward Deployed Engineering) at Scale AI, responsible for architecting, integrating, deploying, and operating production AI systems for strategic enterprise customers at scale.

Responsibilities

  • Architect and deploy production AI systems that integrate seamlessly into complex enterprise environments, including cloud platforms, data warehouses, internal APIs, business applications, and proprietary software systems.
  • Design scalable agent architectures that combine LLMs, retrieval, memory, tools, structured knowledge, and enterprise data into reliable production workflows.
  • Build robust integrations that allow AI agents to safely interact with customer systems while meeting enterprise requirements for security, governance, and compliance.
  • Rapidly prototype new AI capabilities and evolve successful prototypes into production-ready systems.
  • Build the production infrastructure that enables frontier AI research to become reliable enterprise software.
  • Develop agent runtimes, orchestration frameworks, context pipelines, execution services, and tool integrations that power production AI systems.
  • Engineer systems for reliability, observability, latency, scalability, retries, fallback strategies, and graceful degradation.
  • Design human-in-the-loop workflows that effectively combine AI automation with expert oversight.
  • Build deployment patterns that allow AI systems to evolve safely through continuous delivery and experimentation.
  • Operationalize modern AI quality systems that ensure production agents remain reliable as models, prompts, and customer data evolve.
  • Deploy evaluation harnesses using offline benchmarks, online experiments, golden datasets, regression suites, and LLM-as-a-Judge to detect quality regressions before they impact customers.
  • Implement tracing, observability, monitoring, guardrails, grounding, and safety mechanisms that enable production AI systems to operate with confidence.
  • Partner closely with Applied AI engineers to productionize new evaluation methodologies, retrieval strategies, reasoning architectures, and emerging AI capabilities.
  • Rapidly evaluate newly released models, agent frameworks, evaluation methodologies, and developer tooling, determining how they can be safely adopted into production systems.
  • Partner directly with enterprise customers to understand their technical infrastructure, software architecture, and operational workflows.
  • Translate ambiguous customer problems into scalable production AI architectures.
  • Collaborate with customer software engineers, ML engineers, platform teams, and product organizations to deploy AI into mission-critical workflows.
  • Identify reusable engineering patterns that become core capabilities across multiple enterprise deployments.
  • Serve as the primary technical advisor for strategic enterprise accounts.
  • Lead architecture discussions spanning distributed systems, AI infrastructure, enterprise integration, and production deployment.
  • Document reusable architecture patterns, deployment strategies, integration frameworks, and operational best practices.
  • Work closely with Scale's product, infrastructure, and Applied AI teams to continuously improve the platform.

Qualifications

  • 5+ years of software engineering experience with strong fundamentals in distributed systems, data structures, algorithms, and system design.
  • Strong Python programming skills with experience building production software.
  • Experience building or deploying AI-powered applications using modern LLM APIs, agent frameworks, MCP, retrieval systems, or vector databases.
  • Experience with cloud platforms (AWS, Azure, or GCP) and modern production infrastructure.
  • Strong problem-solving skills with the ability to navigate ambiguous technical requirements and rapidly iterate toward production solutions.
  • Excellent communication skills and the ability to work directly with enterprise engineering teams.

Skills

Required:Distributed systemsPythonCloud platforms
Nice to have:Enterprise integration

Benefits

  • comprehensive health, dental and vision coverage
  • retirement benefits
  • a learning and development stipend
  • generous PTO
  • commuter stipend (may be eligible)
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About Scale AI

Data-centric infrastructure to accelerate the development of AI

Scale accelerates the development of AI within organizations of any size to deliver critical business insights and operational efficiency. Its data-centric infrastructure platform leverages RLHF (Reinforced Learning with Human Feedback) to help organizations build the strongest AI models that supercharge their business, with customers across industries including Meta, Microsoft, U.S. Army, DoD’s Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart and Flexport.

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