Forward Deployed Engineer at an Insight Partners & Salesforce-backed $5B AI Company

Harper; Sydney; On-site; AUD 150,000 - 210,000; Full time

Job summary

Harper in Sydney is seeking a seasoned software engineer to partner directly with enterprise teams: learn workflows, design AI solutions, and build production-grade agents integrated with customer systems.

You will run workshops, write robust integrations, manage deployments with reliability and performance, and collaborate with Product and Engineering to improve shared tools and documentation.

Qualifications

• 4+ years of hands-on software engineering with production systems.
• Fluent English, written and spoken.
• Platform integration experience: APIs, cloud infrastructure, data flows.
• Strong technical problem-solving and comfort with customer-facing ambiguity.
• Nice to have: experience with AI agents or automation.

Responsibilities

• Partner with customers to identify operational problems worth solving.
• Turn complex 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 internal Product and Engineering teams to improve tools and documentation.

Skills

Software engineering

English fluency

Platform integration

Customer-facing

Communication

Tools

TypeScript

Go

Python

Job description

Job Title

Top-of-market compensation.

Location

Sydney, Australia, on-site.

Company Description

The client is backed by top-tier Silicon Valley investors and is expanding across the world: live in 35+ countries with around 650 people, and a local team in every market it deploys in. It helps large enterprises accelerate AI adoption to unlock their full potential, combining a complete AI operating system with local deployment teams that get AI into production quickly. It reached a $5B valuation in under two years, on more than $800M raised — its valuation went from $2B to $5B in the last six months alone. The Australia team is scaling now, and this is the engineer the customer sees: the one who makes the product real in production.

What You'll Do

This is not traditional product engineering. You are paired directly with enterprise teams: you learn their workflows, design the AI solution, and build the agents that go into production.

• Partner with customers to find the operational problems worth solving.
• Turn complex, ambiguous problems into technical designs, then implement them.
• Deliver the platform on the customer's side, guiding them on 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 as your responsibility.
• Test against real data and iterate fast.
• Work with the internal Product and Engineering teams, and contribute back to shared tools and documentation.

Required Qualifications

• 4+ years of hands-on software engineering, with production systems you built and scaled.
• Fluent English, written and spoken.
• Platform integration experience: APIs, cloud infrastructure, MCP, data flows.
• Strong technical problem-solving, and comfortable in front of customers owning an ambiguous problem.
• Excellent communication and a high-ownership mindset.

Nice to Have

• Forward-deployed or solutions engineering background.
• AI agent or automation work.
• Fast-growth startup experience.
• Cloud fluency; TypeScript, Go, or Python.

Why Join

• You are the technical owner of the account, not a ticket in someone's backlog. First call to production is yours.
• Founding-team membership in a global company with a local presence, working with builders from leading tech companies.
• Join a company that went from zero to a $5B valuation in under two years — $2B to $5B in the last six months alone.
• Enterprise AI at the moment it actually lands in production: live in 35+ countries, around 650 people, and agents that resolve more than 80% of the conversations they handle.