Production AI Agent Systems Engineer

MaxIT Consulting - Max Corporate Group; San Francisco (CA); On-site; USD 110,000 - 160,000; Full time

Job summary

MaxIT Consulting - Max Corporate Group in San Francisco is seeking a highly technical Applied AI Deployment Engineer to build and deploy advanced agent systems for large enterprise environments.

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.

Qualifications

• Strong software engineering fundamentals and 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.

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.

Skills

Software engineering fundamentals

Agent systems development

Production code ownership

Evaluation & reliability

Cross-technology adaptability

Technical communication

Job description

MaxIT Consulting - Max Corporate Group in San Francisco is seeking a highly technical Applied AI Deployment Engineer to build and deploy advanced agent systems for large enterprise environments.

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.