Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Plenti

AI Engineer

Plenti

AI Engineer creating production-ready AI solutions for Plenti, enhancing operational efficiency and supporting sales. Collaborate with cross-functional teams in a dynamic fintech environment.

Posted 4/17/2026full-timeSydney • 🇦🇺 AustraliaJuniorMid-LevelWebsite

Tech Stack

Tools & technologies
AWSCloudDockerKubernetesPythonTerraform

About the role

Key responsibilities & impact
  • Design, build, and deploy AI-driven solutions that enhance operational efficiency and support sales performance
  • Translate real business problems into scalable, production-ready AI solutions
  • 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

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • Flexible working
  • Volunteer and study leave to develop your skills
  • Monthly social events
  • Office snacks
  • Company Townhalls
  • D&I initiatives and events to help you connect with your colleagues

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonAI solutionsproduction-ready applicationsLLM orchestrationRAGagentic systemsTerraformKubernetesDockermachine learning principles
Soft Skills
problem-solvingcollaborative mindsetstakeholder engagement
Certifications
degree in Computer Sciencedegree in Software Engineering