Enterprise AI Deployment Engineer — Agents & Systems

MaxIT Consulting - Max Corporate Group

San Francisco (CA)

On-site

USD 135,000 - 195,000

Full time

3 days ago
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Job summary

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

The role welcomes graduates and experienced engineers alike, with a strong emphasis on ownership and

Qualifications

  • Strong software engineering fundamentals and the ability to ship production systems.
  • Hands-on experience building agent systems or technical forward-deployed solutions.
  • Ability to write and own production code.
  • Understanding of evaluation, agent behavior, and production reliability.
  • Willingness to learn new stacks across technologies.
  • Strong communication with enterprise stakeholders.

Responsibilities

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

Skills

Software engineering
Agent systems
Production code
Evaluation & reliability
Stakeholder communication

Job description

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

The role welcomes graduates and experienced engineers alike, with a strong emphasis on ownership and

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