Lorikeet Software Pty Ltd logo

Forward Deployed AI Engineer

Job Overview

Location

Sydney, Australia

Job Type

Full-time

Category

Other Engineering

Date Posted

March 18, 2026

Full Job Description

đź“‹ Description

  • • As a Forward Deployed AI Engineer at Lorikeet Software Pty Ltd, you will serve as the critical technical and strategic bridge between the company’s cutting-edge AI platform and its enterprise customers, directly enabling rapid deployment and maximum value realization from Lorikeet’s AI solutions in high-impact industries such as fintech, healthtech, and marketplace businesses.
  • • Your day-to-day responsibilities will include leading end-to-end AI implementation projects from initial customer discovery and needs assessment through configuration, integration, testing, and successful go-live; acting as an AI expert and evangelist by educating customers on the platform’s capabilities and recommending innovative, non-obvious use cases that extend beyond basic support automation to drive business outcomes; building and configuring custom workflows within Lorikeet’s AI tools using TypeScript, React/Remix, PrismaORM, NestJS, and Python to align with each client’s unique operational goals; collaborating closely with the product team to translate field insights into actionable feedback that shapes short-term feature prioritization and long-term product roadmap; guiding customers through technical implementation challenges with creativity and precision, resolving complex integration issues involving APIs, data pipelines, and legacy systems while maintaining strong, trust-based relationships; and continuously learning and applying emerging AI techniques to solve real-world problems, positioning yourself as a trusted advisor who helps customers unlock transformative experiences for their end users.
  • • Lorikeet is a fast-growing, VC-backed AI startup headquartered in Sydney with over USD $50M in funding from top-tier investors including QED, Blackbird, Square Peg, and notable angels such as ex-Stripe COO Claire Hughes Johnson and Brex CTO Cos Nicolaescu; the company serves enterprise clients including the largest telehealth provider in Australia, the largest US teen bank, a leading NFT marketplace, and multiple virtual care and fintech platforms processing over 1 million support tickets annually, giving you direct exposure to high-stakes, complex AI deployments at scale.
  • • You will be part of a warm, mature, and flexible culture that values low ego, high trust, and user obsession over traditional credentials, with a strong commitment to diversity and inclusion; this role offers unparalleled agency to shape not only individual customer successes but also Lorikeet’s overall deployment methodology, product direction, and customer success framework as an early team member in a high-impact, high-growth environment.
  • • In this role, you will rapidly develop deep expertise in applied AI implementation, enterprise SaaS deployment, and technical consulting — gaining hands-on experience with modern full-stack technologies while learning how to translate complex AI capabilities into tangible business value; you’ll have the opportunity to grow into a leadership position in customer-facing technical roles, potentially evolving into a specialist in AI solution architecture, technical account management, or product strategy, all while working on problems that push the boundaries of what AI-first SaaS products can achieve.

🎯 Requirements

  • • 2-5 years of client-facing experience in management consulting, technical implementation, or similar roles involving direct customer engagement and project delivery
  • • Technical background, training, or mindset — demonstrated through CS/engineering education, math/stats proficiency, or proven ability to learn and apply technical skills (e.g., building with low/no-code tools, data analysis, scripting); prior software engineering experience is useful but not required
  • • Strong project leadership abilities with a track record of independently driving complex technical solutions to completion, showing organization, reliability, and high agency in ambiguous environments
  • • Proven experience building and managing stakeholder relationships with external clients, including the ability to listen actively, communicate technical concepts clearly to non-technical audiences, and influence outcomes through collaboration
  • • Genuine excitement about AI, demonstrated through hands-on tinkering (e.g., ChatGPT power use, personal AI projects, experimentation with LLMs or AI tools) and a desire to apply AI creatively to solve real-world problems

🏖️ Benefits

  • • Competitive base salary benchmarked against unicorn and scale-up companies, paired with a potentially life-changing equity stake in Lorikeet, giving you direct ownership in the company’s success
  • • Access to a modern, cutting-edge tech stack including TypeScript, React/Remix, PrismaORM, NestJS, and Python, with opportunities to work on AI-first SaaS innovation at the forefront of the industry
  • • Flexible, trust-based work culture that prioritizes efficiency and work-life harmony, with no tolerance for toxic behavior and strong support for diverse backgrounds and non-traditional career paths
  • • Paid two-day work trial as part of the recruitment process, allowing you to experience real work at Lorikeet before committing, ensuring mutual fit and transparency
  • • Direct exposure to senior leadership and investors through monthly company updates shared with the team, fostering transparency and a sense of ownership as an early employee in a rapidly scaling startup

Skills & Technologies

Python
TypeScript
React
Data Science
Onsite

Ready to Apply?

You will be redirected to an external site to apply.

Lorikeet Software Pty Ltd logo
Lorikeet Software Pty Ltd
Visit Website

About Lorikeet Software Pty Ltd

Lorikeet Software operates a cloud platform that lets customer-facing teams build, launch, and manage AI agents for support, sales, and success workflows without code. It ingests knowledge from websites, documents, and APIs, then provides chatbots, voice bots, and copilot interfaces that integrate with CRMs, ticketing, and messaging channels. Analytics, escalation, and human-in-the-loop controls are built in, letting organizations automate repetitive interactions while preserving oversight. The company is headquartered in Sydney, Australia and serves mid-market to enterprise customers across North America, APAC, and Europe.

Similar Opportunities

Brazil
Full-time
Expires May 20, 2026
Python
PostgreSQL
Redis
+4 more

17 hours ago

Apply
Toronto, Canada
Full-time
Expires May 20, 2026
Python
Kubernetes
Jupyter
+3 more

19 hours ago

Apply
Germany
Full-time
Expires May 18, 2026
Remote

2 days ago

Apply
Frankfurt, Germany
Full-time
Expires May 18, 2026
JavaScript
Design
Senior
+1 more

2 days ago

Apply