Plenti

AI Engineer

Plenti

full-time

Posted on:

Location Type: Hybrid

Location: Sydney • Australia

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Tech Stack

AWSCloudDockerKubernetesPythonTerraform

About the role

  • 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

  • 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
  • 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
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