Enterprise Agent Systems Engineer

MaxIT Consulting

$120K — $145K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong software engineering fundamentals and production system deployment experience.
  • Hands-on experience in developing agent systems or AI applications.
  • Proficiency in writing and owning production code directly.
  • Deep understanding of evaluation metrics, agent behavior, and reliability in production.
  • Adaptability to work across various technologies and learn new stacks as needed.
  • Excellent communication skills tailored for technical enterprise clients.

Responsibilities

  • Build and launch production agent systems tailored for complex enterprise workflows.
  • Develop data pipelines and orchestration systems to support agent functionalities.
  • Run post-training workflows, analyzing and optimizing for customer-specific models.
  • Collaborate with customer researchers and engineers to align on project goals.
  • Evaluate performance issues to identify their source within the model or environment.
  • Translate intricate customer workflows into robust and testable AI solutions.
  • Lead technical deployments from initial setup through to effective production use.

Benefits

  • Opportunity for growth in AI and software engineering careers.
  • Work closely with technically advanced and innovative clients.
  • Engagement in hands-on projects with real-world impact.
  • Collaborative in-house work environment fostering teamwork and learning.
  • Flexibility considered for exceptional candidates outside San Francisco.
Full Job Description
Acerca del puesto Enterprise Agent Systems Engineer

San Francisco, California | Primarily On-site

We are seeking a highly technical Enterprise Agent Systems Engineer to build and deploy advanced agent systems for large enterprise environments.

The Opportunity

This role combines strong software engineering with applied AI research judgment. You will work directly with technically sophisticated customers while building the agent systems, data pipelines, post-training workflows, and evaluation infrastructure required for production deployments.

Key Responsibilities
  • Build and ship production agent systems for complex enterprise workflows.
  • Develop data pipelines, orchestration systems, and evaluation harnesses.
  • Run and analyze post-training workflows for customer-specific models and agents.
  • Work directly with customer researchers and engineers.
  • Evaluate whether performance issues originate in the model, environment, or evaluation framework.
  • Translate customer workflows into robust, testable AI systems.
  • Own technical deployments from implementation through production use.

Required Qualifications
  • Strong software engineering fundamentals and demonstrated ability to ship production systems.
  • Hands-on experience building agent systems, AI applications, or technical forward-deployed solutions.
  • Ability to personally write and own production code.
  • Strong understanding of evaluation, agent behavior, and production reliability.
  • Ability to work across technologies and learn new stacks as required by the problem.
  • Strong communication skills with technical enterprise stakeholders.

Seniority

The search is open from exceptional new graduates and early-career engineers through experienced senior engineers. Technical ability and demonstrated ownership are more important than years of experience.

Work Arrangement

The team is based in San Francisco and strongly prefers in-person collaboration. Limited flexibility may be considered for exceptional candidates, particularly experienced candidates elsewhere in the United States who can spend an initial period working on site.

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