Agent Systems AI Engineer - Production Deployments (SF)

MaxIT Consulting - Max Corporate Group; San Francisco (CA); On-site; USD 170,000 - 250,000; Full time

Job summary

MaxIT Consulting - Max Corporate Group in San Francisco, CA seeks a highly technical Forward Deployed AI Engineer – Agent Systems to build and deploy advanced agent systems for large enterprise environments. You will work directly with technically sophisticated customers, building data pipelines, post-training workflows, evaluation infrastructure, and robust AI deployments for production use.

The team strongly prefers in-person collaboration in San Francisco, with limited flexibility for

Qualifications

• Strong software engineering fundamentals and ability to ship production systems.
• Hands-on experience building agent systems 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.
• 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

Production code ownership

Evaluation & reliability

Cross-stack learning

Stakeholder communication

Job description

MaxIT Consulting - Max Corporate Group in San Francisco, CA seeks a highly technical Forward Deployed AI Engineer – Agent Systems to build and deploy advanced agent systems for large enterprise environments. You will work directly with technically sophisticated customers, building data pipelines, post-training workflows, evaluation infrastructure, and robust AI deployments for production use.

The team strongly prefers in-person collaboration in San Francisco, with limited flexibility for