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Forward Deployed Engineer III - Applied AI

JobtailorMelbourne, Victoria🇦🇺AustraliaPosted 18 Aug 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to lead cutting-edge AI application development, leveraging your full-stack expertise with React, Node.js, and AWS to build scalable solutions. You'll thrive here if you're passionate about integrating LLMs and AI/ML into production, mentoring junior engineers, and shaping technical strategy within a collaborative environment. Apply now to shape the future of applied AI and accelerate your career growth.

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Melbourne, Victoria, Australia

Job Description

  • Lead the design, development, and deployment of full stack AI applications using React, Node.js, and AWS.
  • Integrate AI/ML solutions, including LLMs, embeddings, and agent frameworks, into production applications.
  • Collaborate with cross-functional teams (product, data, AI, and architecture) to define project scope, design patterns, and technical strategy.
  • Ensure scalable, secure, and maintainable cloud architectures, leveraging AWS services (Lambda, SageMaker, Bedrock, ECS/EKS).
  • Mentor and guide engineers on best practices, code quality, and architectural decisions.
  • Implement LLMOps workflows: prompt management, model pipelines, versioning, monitoring, and optimization.
  • Work with unstructured data (text, image, video, audio) to enable AI-driven features.
  • Contribute to reusable code libraries, frameworks, and engineering standards.
  • Stay up-to-date with AI and full stack technologies and share knowledge internally and externally.
Requirements
  • Full stack development experience with React and Node.js.
  • Experience integrating AI/ML solutions, including LLMs, embeddings, and agent frameworks.
  • Experience deploying scalable cloud architectures on AWS.
  • Knowledge of AWS Lambda, SageMaker, Bedrock, and ECS/EKS.
  • Experience implementing LLMOps workflows, including prompt management, model pipelines, versioning, monitoring, and optimization.
  • Experience working with unstructured data including text, image, video, and audio.
  • Ability to lead full stack AI projects and make technical and architectural decisions.
  • Ability to mentor engineers and contribute to engineering standards and reusable code libraries.
Core Competencies

Demonstrates expertise in full stack development with React and Node.js, integrating AI/ML solutions, and deploying scalable cloud architectures on AWS. Proven ability to lead projects, mentor engineers, and implement LLMOps workflows for AI-driven applications.

Highest-signal resume keywords
  • Full Stack Development
  • AI/ML Integration
  • AWS Cloud Architecture
  • LLMOps Workflows
  • Mentoring Engineers
ATS Optimization Keywords Hard Skills
  • React
  • Node.js
  • AI/ML Solutions
  • LLMs
  • Embeddings
  • Agent Frameworks
  • AWS Lambda
  • AWS SageMaker
  • AWS Bedrock
  • ECS/EKS
Soft Skills
  • Collaboration
  • Leadership
  • Mentoring
Industry Keywords
  • Unstructured Data
  • Text
  • Image
  • Video
  • Audio
Tools & Technologies
  • AWS Services
  • Cloud Architectures
  • Reusable Code Libraries
  • Engineering Standards

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