Plenti15d ago

AI Engineer

SydneyFull-timemid

Data ScienceMachine Learning EngineerAI EngineerDataData & AI

0 views0 saves0 applied

Apply Now

Quick Summary

Key Responsibilities

Deliver end-to-end AI solutions that improve operational and sales efficiency, integrating them across core systems Develop agentic workflows and autonomous components using Python, Langflow,

Technical Tools

Data ScienceMachine Learning EngineerAI EngineerDataData & AI

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 AI Engineer to join our newly formed, specialised AI team and help drive the next phase of innovation across our business. In this role, you’ll design, build, and deploy AI-driven solutions that enhance operational efficiency and support sales performance.

Working closely with Engineering, SRE, and business stakeholders, you’ll translate real business problems into scalable, production-ready AI solutions. This is a hands-on role where your work will directly contribute to embedding AI capabilities across core platforms and delivering measurable outcomes.

Key responsibilities:

Deliver end-to-end AI solutions that improve operational and sales efficiency, integrating them across core systems
Develop agentic workflows and autonomous components using Python, Langflow, and modern AI tooling
Own the full solution lifecycle, from requirements gathering and stakeholder engagement through to design, testing, and deployment
Embed AI-driven components into existing applications to enhance functionality and user experience
Manage and optimise AI infrastructure, including specialised Kubernetes nodes and model orchestration environments, in partnership with SRE and Platform teams
Apply best practices across testing, documentation, and monitoring to ensure reliable, high-performing solutions
Stay up to date with emerging AI trends and tools to continuously improve internal capabilities

About you:

A degree in Computer Science, Software Engineering, or a related field
2+ years’ experience in Python development, with a strong track record of building and delivering production-ready applications
Hands-on experience developing and deploying AI solutions (e.g. LLM orchestration, RAG, or AI agents)
Strong understanding of modern AI tooling and orchestration frameworks, including agentic systems and RAG techniques
Experience working with cloud infrastructure (preferably AWS), with exposure to Terraform and Kubernetes
Familiarity with Docker and Kubernetes for deploying and scaling workloads
Strong problem-solving skills, with the ability to translate business needs into practical, maintainable technical solutions
Working knowledge of machine learning principles (desirable), particularly in implementation and integration
A collaborative mindset, with the ability to work cross-functionally with engineering, product, and business teams