Enterprise AI Delivery Engineer

Elios AI

Miami (FL)

On-site

USD 120,000 - 180,000

Full time

4 days ago
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Job summary

Elios AI is hiring a Forward Deployed Specialist to sit inside enterprise accounts and turn AI capability into production‑grade software. You will split time between understanding client problems and integrating code, scoping workflows, and delivering robust deployments.

You will embed with customers, design and ship LLM‑powered applications, wire into legacy systems, run pilots through production cutover, and communicate with both business and engineering teams to ensure successful handoffs.

Qualifications

  • 5+ years building and shipping production software.
  • Comfort deploying and operating on AWS, GCP, or Azure, including containers, observability, and debugging code you did not write.
  • Integration experience across enterprise systems, data platforms, and identity and auth.

Responsibilities

  • Embed with enterprise customers to map workflows, data, and constraints and design solutions.
  • Build and ship LLM-powered applications and agentic workflows across retrieval, tool integration, orchestration, and evaluation.
  • Wire into customer systems including legacy APIs, on-prem data stores, SSO, and enterprise auth.
  • Run the technical side of pilots and expansions from workshops to production cutover.
  • Write evals to assess readiness for handover.
  • Translate between business language and engineering teams and earn trust on both sides.
  • Provide deployment feedback to product to reduce heroics.

Skills

Python
APIs
Systems fundamentals

Tools

AWS
GCP
Azure
Containers

Job description

Elios AI is hiring a Forward Deployed Specialist to sit inside enterprise accounts and turn AI capability into production‑grade software. You will split time between understanding client problems and integrating code, scoping workflows, and delivering robust deployments.

You will embed with customers, design and ship LLM‑powered applications, wire into legacy systems, run pilots through production cutover, and communicate with both business and engineering teams to ensure successful handoffs.

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