Enterprise AI Deployment Engineer

Harper

Sydney

On-site

AUD 180,000 - 240,000

Full time

7 days ago
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Job summary

Harper in Sydney is seeking a hands-on software engineer to work directly with enterprise teams, designing AI solutions and building production-grade agents that run in production.

You will partner with customers to identify operational problems, translate them into concrete designs, and implement integrations with APIs and cloud infrastructure. You will deploy reliable workflows and collaborate with internal Product and Engineering teams.

Qualifications

  • 4+ years hands-on software engineering with production systems.
  • Fluent English, written and spoken.
  • Platform integration experience: APIs, cloud infrastructure, MCP, data flows.
  • Strong technical problem-solving and comfort working with customers.
  • Excellent communication and high ownership mindset.

Responsibilities

  • Partner with customers to identify operational problems worth solving.
  • Turn complex, ambiguous problems into technical designs and implement them.
  • Deliver the platform on the customer's side and guide best practices.
  • Build AI agents integrated with customer systems and APIs.
  • Run workshops with client teams.
  • Write production-grade code for integrations and workflows.
  • Manage deployments with reliability and performance.
  • Test against real data and iterate quickly.
  • Collaborate with Product and Engineering teams and contribute to tools/docs.

Skills

Hands-on software engineering
Fluent English
Platform integration
Problem solving
Communication

Tools

TypeScript
Go
Python

Job description

Harper in Sydney is seeking a hands-on software engineer to work directly with enterprise teams, designing AI solutions and building production-grade agents that run in production.

You will partner with customers to identify operational problems, translate them into concrete designs, and implement integrations with APIs and cloud infrastructure. You will deploy reliable workflows and collaborate with internal Product and Engineering teams.

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