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Plenti

Engineering Manager, AI

Sydney
AI Python AWS Terraform Docker Kubernetes RAG
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Description

Engineering Manager, AI

Team: Technology

Location: Sydney

Commitment: Full-time

Workplace Type: hybrid

Who is Plenti? 

Plenti is a fintech lender, providing faster, fairer loans by leveraging its smart technology. Plenti is a dynamic and innovative business that is growing strongly. By continuing to deliver better customer experiences, Plenti is taking market share from incumbent players in the personal lending, renewable energy, and automotive finance markets.

We are a fast moving and ambitious business that seeks to recruit smart and capable people, who can take ownership of their role to help the business thrive. With over 250 people based in Australia, Plenti is of a size where everyone can make a difference in their role and help us realise our very big ambitions as a team, as we go about building Australia’s best lender.

Plenti is a founder led business that launched in 2014, listed on the ASX since 2020 with annual revenue of over $250 million and a loan portfolio of over $2.5 billion.


About the Role:
We’re looking for an experienced and hands-on Artificial Intelligence Engineering Manager to lead the design, deployment and scale of AI-driven solutions that power operational and sales efficiency across our business.

This is a newly created, unique opportunity to sit at the intersection of modern software engineering, cloud infrastructure and emerging AI technologies. You’ll lead a small, high-performing team while remaining deeply technical – shaping our AI platform, embedding intelligent workflows into core systems, and translating business needs into production-ready solutions.

If you enjoy moving between infrastructure and application layers, thrive in ambiguity, and take a consultative approach to solving complex business problems, this role is for you.

Key Responsibilities:
• Lead, mentor and develop a small team of engineers, supporting career growth and technical excellence
• Design and manage AI-specific infrastructure, taking ownership of AI platforms, specialized Kubernetes nodes, and the underlying environments required for model orchestration 
• Deliver end-to-end AI solutions designed to improve operational and sales efficiency, ensuring they are integrated into multiple core platforms
• Build sophisticated workflows and autonomous components using Python, Langflow and emerging AI tooling
• Drive the full solution lifecycle including discovery, requirements documentation, architecture, build, testing and deployment
• Collaborate with SRE and Platform teams to align AI infrastructure with organisational patterns while enabling flexibility needed for AI innovation
• Architect scalable and resilient AI-driven components embedded into existing applications to enhanc user experience and business logic
• Manage and prioritise the backlog across foundational AI platform work and rapid feature delivery
• Establish best practices for testing, documentation and monitoring of AI solutions to ensure reliability and performance in production environments
• Stay current with AI trends and evaluate new tools to continuously uplift our internal AI capability

About You:
You are technically strong and adaptable, with the ability to operate confidently across both software development and infrastructure environments. You bring a consultative mindset, taking the time to understand stakeholder needs and business objectives before shaping the right technical solutions.

You are experienced in cross-collaboration, working closely with SREs, Product Managers and Sales stakeholders to ensure AI initiatives are aligned to broader business goals. Comfortable navigating different technologies, you move seamlessly from high-level ambiguity to clear, structured execution.

Essential Experience:
• 7+ years in technology roles, with a strong software engineering foundation
• 2+ years of experience in a formal leadership or engineering mentorship role, with a track record of mentoring technical talent

Technical Experience:
• AI orchestration & tooling: Deep knowledge of the modern AI stack, including agentic frameworks and AI techniques such as RAG 
• Python development: Advanced proficiency in Python for application development and data processing 
• Cloud & infrastructure: Proficiency in AWS services and Infrastructure-as-Code (Terraform) to manage specialized AI compute resources
• Containerisation: Familiarity with Docker and Kubernetes, specifically regarding how to deploy and scale AI-specific workloads 
• Solution design: Ability to perform requirements discovery and translate business problems into technical architectures 
• Machine learning knowledge is desirable but the focus of this role is on engineering implementation and integration rather than model research.

What's life like at Plenti? 

Working at Plenti means joining a team that is high-performing, diverse, customer-focused and collaborative. It’s a place where everyone can “make it happen” and share in the results and success. If being in a dynamic industry as part of a market-leading fintech sounds like you, then join to help us reshape Australia’s financial eco-system for the good.

In return, you will enjoy a culture of innovation and entrepreneurship to take your career further. We offer flexible working and volunteer and study leave to develop your skills. We also have monthly social events, office snacks, company Townhalls and D&I initiatives and events to help you connect with your colleagues. 

Plenti is committed to a diverse and inclusive workforce. 

We encourage people from different backgrounds to apply, including Aboriginal and Torres Strait Islander people and people with disabilities. When you apply, let us know of any reasonable adjustments you may need during the interview process so we can accommodate you. 

Plenti
Plenti

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