Enterprise AI Integration Engineer – On-site, 25% Travel

MaxIT Consulting - Max Corporate Group

San Francisco (CA)

On-site

USD 90,000 - 130,000

Full time

9 days ago
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Job summary

MaxIT Consulting - Max Corporate Group in SF Bay Area is seeking a technically hands-on Enterprise AI Integration Engineer to bring advanced AI systems into production environments for large industrial enterprise customers. This role combines deployment work with ownership of integrations, data flows, and AI-enabled workflows.

The ideal candidate has 1–5 years of hands-on software engineering experience, can ship production code, and will travel domestically about 25%.

Qualifications

  • 1–5 years hands-on software engineering or related roles.
  • Production code shipped in real projects.
  • Experience integrating software with complex customer systems.
  • Hands-on experience with modern AI apps, agentic systems, and/or RAG solutions.
  • Strong customer-facing communication and technical depth.
  • Willingness to travel domestically around 25%.

Responsibilities

  • Embed with enterprise customers to deploy AI-powered systems into live environments.
  • Build and maintain integrations using APIs, webhooks, ETL processes, and enterprise data systems.
  • Integrate with ERP, CMMS, ticketing, knowledge-management, and enterprise service platforms.
  • Work with SAP, ServiceNow, and related enterprise platforms as needed.
  • Develop agentic AI and retrieval-augmented generation capabilities for customer solutions.
  • Translate ambiguous requirements into shipped technical solutions.
  • Collaborate directly with customer engineering and operations teams.

Skills

Customer-facing communication
Production code shipping
AI / RAG experience
Enterprise integrations

Tools

SAP
ServiceNow
APIs

Job description

MaxIT Consulting - Max Corporate Group in SF Bay Area is seeking a technically hands-on Enterprise AI Integration Engineer to bring advanced AI systems into production environments for large industrial enterprise customers. This role combines deployment work with ownership of integrations, data flows, and AI-enabled workflows.

The ideal candidate has 1–5 years of hands-on software engineering experience, can ship production code, and will travel domestically about 25%.

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