Senior Enterprise Agent Systems Engineer - On-site SF

MaxIT Consulting - Max Corporate Group; San Francisco (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

MaxIT Consulting - Max Corporate Group in San Francisco, CA is seeking an Enterprise Agent Systems Engineer to design, build, and deploy advanced agent systems for large enterprise environments. You will join a team that blends software engineering with applied AI, delivering production-ready data pipelines and evaluation infrastructure for customer deployments.

You will work directly with technically sophisticated clients, translating complex workflows into robust AI systems and ensuring

Qualifications

• Strong software engineering fundamentals with production-grade shipping.
• Hands-on experience building agent systems, AI apps, or forward-deployed solutions.
• Ability to personally write and own production code.
• Solid understanding of evaluation, agent behavior, and reliability.

Responsibilities

• Build and ship production agent systems for enterprise workflows.
• Develop data pipelines, orchestration systems, and evaluation harnesses.
• Run and analyze post-training workflows for customer models.
• Collaborate directly with customer researchers and engineers.
• Evaluate where performance issues originate (model, environment, or framework).
• Translate customer workflows into robust, testable AI systems.
• Own deployments from implementation to production use.

Skills

Production code

Agent systems

AI applications

Reliability

Cross-stack

Education

Bachelor's degree in CS/CE

Tools

Python

Docker

Kubernetes

Linux

Job description

MaxIT Consulting - Max Corporate Group in San Francisco, CA is seeking an Enterprise Agent Systems Engineer to design, build, and deploy advanced agent systems for large enterprise environments. You will join a team that blends software engineering with applied AI, delivering production-ready data pipelines and evaluation infrastructure for customer deployments.

You will work directly with technically sophisticated clients, translating complex workflows into robust AI systems and ensuring