Applied AI Deployment Engineer

MaxIT Consulting

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

Qualifications

  • Strong software engineering fundamentals with production system experience.
  • Hands-on experience developing agent systems or AI applications.
  • Proficient in writing and maintaining production-quality code.
  • Deep understanding of evaluation metrics and agent behavior performance.
  • Adaptable across different technologies and rapid learning of new systems.
  • Effective communicator with technical teams in enterprise settings.

Responsibilities

  • Build and ship production agent systems for enterprise workflows.
  • Develop data pipelines and orchestration systems for AI applications.
  • Run and analyze post-training workflows for tailored customer models.
  • Collaborate with customer researchers and engineers to align on technical solutions.
  • Evaluate performance issues, identifying root causes in models and environments.
  • Translate complex customer workflows into robust AI systems for production.
  • Manage technical deployments from initial setup to daily operations.

Benefits

  • Opportunity to work on advanced agent systems in a dynamic environment.
  • Direct interaction with sophisticated enterprise customers and projects.
  • Thought leadership in an emerging field of applied AI.
  • Emphasis on in-person collaboration for team-based projects.
Full Job Description
Acerca del puesto Applied AI Deployment Engineer

San Francisco, California | Primarily On-site

We are seeking a highly technical Applied AI Deployment 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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