AI deployment engineer (Central)

present of AI

Chicago (IL)

Remote

USD 120,000 - 190,000

Full time

1 hour ago
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Job summary

present of AI in Chicago, IL, is seeking a Senior Customer & Solutions engineer who can sit with large enterprise customers, identify AI use cases that matter, and deliver deployments on the company platform. The role emphasizes translating messy business needs into working applications with strong Python and API skills.

The ideal candidate brings years of technical, customer-facing experience and clear communication with engineers and senior leaders. Remote work is available.

Qualifications

  • Several years of technical customer-facing work.
  • Strong Python and API skills.
  • Clear communication with engineers and senior leaders.

Responsibilities

  • Sit with large enterprise customers to identify AI use cases that matter.
  • Build and ship solutions on the company platform.
  • Translate messy business needs into working applications.

Skills

Python
API skills
Enterprise customer engagement
Technical communication

Job description

Customer & Solutions · Chicago, IL · Remote · FullTime · Senior level

The role asks for someone who can sit with large enterprise customers, find the AI use cases that matter, and then build and ship the solution on the company platform. A strong candidate brings several years of technical customer facing work, solid Python and API skills, and a habit of turning messy business needs into working applications. Clear communication with both engineers and senior leaders matters as much as the building.

How it fits the AI era

The work is mostly about applying generative AI inside big companies, so the tools and models shift quickly and the engineer has to keep learning. What stays human is judgment about which problems are worth solving, trust with the customer, and the ability to explain tradeoffs plainly. The role sits close to where AI meets real business use, which is where adoption is won or lost.

How it builds AI experience

Someone here would gain hands on practice with enterprise grade language models, prompt design, and knowledge grounded agents built on company data. That experience comes from shipping real deployments for large customers and feeding what is learned back to product teams. Building a few small agent or API projects on public platforms would be a sensible way to prepare.

Worth showing
  • Python and API work
  • Technical customer communication

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Writer

Writer is an enterprise AI platform for building and supervising AI agents grounded in company data, per the company.

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