Senior AI Engineer
Expired
This role has expired and is no longer accepting applications. Browse similar roles →
Virtusa
Melbourne, VIC
Full Time
Apply for this job
Posted 10 months ago
This role is expired
These roles are hiring now
View all AI roles →AI Agent Developer
Jobgether
Australia
remote- Design and deploy AI agents using Microsoft Copilot Studio and generative AI
- Experience with generative AI, LLMs, RAG, and conversational AI required
- Python, JavaScript/TypeScript, Azure OpenAI, Microsoft 365, Power Automate
Posted 1d ago
Senior AI Engineer (Risk & Payments)
Airwallex
Melbourne, VIC
hybrid- Design and deploy AI agents for risk management and payment workflows
- 2+ years applied AI/ML engineering with production deployments
- Python, PyTorch, LangChain, LlamaIndex, RAG, agent orchestration
Posted 3d ago
Applied Scientist - Computer Vision, International Machine Learning
Amazon
Melbourne, VIC
- Develop computer vision models for fresh produce monitoring at scale
- PhD required, 5+ years ML experience preferred
- Deep learning, CVPR/ICCV/ECCV/NeurIPS publications, Python/Java/C++
Posted 1d ago
Forward Deployed Engineer
Australian Financial Complaints Authority (AFCA)
Sydney, NSW
hybrid- Bridge business problems and engineering, build AI and automation solutions
- Significant experience in software, solution, AI or data engineering
- Cloud-based apps, AI, automation, stakeholder engagement, front-end dev
Posted 1d ago
Minimum of 10 years of professional experience in Python programming and datarelated fields
Minimum of 2 years of handson experience in designing and implementing RAG RetrievalAugmented Generation systems
Demonstrable experience with Agentic AI frameworks eg Semantic Kernel LangChain LangGraph etc Experience with Semantic Kernel is highly desirable
Very solid handson experience with core AWS services relevant to AIML and software development eg S3 EC2 Lambda SageMaker DynamoDB etc
Expertise in modern software development practices including GitGitHub Agile methodologies ScrumKanban and CICD pipelines
Exposure to net stack
Strong experience with Data
Deep understanding of large language models LLMs and their application in realworld scenarios
Excellent problemsolving skills and the ability to work independently and as part of a team
Strong communication and collaboration skills
Experience with MLOps and productionizing machine learning models
Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes
RetrievalAugmented Generation systems
Demonstrable experience with Agentic AI frameworks eg Semantic Kernel LangChain LangGraph etc Experience with Semantic Kernel is highly desirable
Very solid handson experience with core AWS services relevant to AIML and software development eg S3 EC2 Lambda SageMaker DynamoDB etc
Expertise in modern software development practices including GitGitHub Agile methodologies ScrumKanban and CICD pipelines
Exposure to net stack
Strong experience with Data
Deep understanding of large language models LLMs and their application in realworld scenarios
Excellent problemsolving skills and the ability to work independently and as part of a team
Strong communication and collaboration skills
Experience with MLOps and productionizing machine learning models
Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes
Minimum of 2 years of handson experience in designing and implementing RAG RetrievalAugmented Generation systems
Demonstrable experience with Agentic AI frameworks eg Semantic Kernel LangChain LangGraph etc Experience with Semantic Kernel is highly desirable
Very solid handson experience with core AWS services relevant to AIML and software development eg S3 EC2 Lambda SageMaker DynamoDB etc
Expertise in modern software development practices including GitGitHub Agile methodologies ScrumKanban and CICD pipelines
Exposure to net stack
Strong experience with Data
Deep understanding of large language models LLMs and their application in realworld scenarios
Excellent problemsolving skills and the ability to work independently and as part of a team
Strong communication and collaboration skills
Experience with MLOps and productionizing machine learning models
Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes
Minimum of 10 years of professional experience in Python programming and datarelated fields
Minimum of 2 years of handson experience in designing and implementing RAG
Demonstrable experience with Agentic AI frameworks eg Semantic Kernel LangChain LangGraph etc Experience with Semantic Kernel is highly desirable
Very solid handson experience with core AWS services relevant to AIML and software development eg S3 EC2 Lambda SageMaker DynamoDB etc
Expertise in modern software development practices including GitGitHub Agile methodologies ScrumKanban and CICD pipelines
Exposure to net stack
Strong experience with Data
Deep understanding of large language models LLMs and their application in realworld scenarios
Excellent problemsolving skills and the ability to work independently and as part of a team
Strong communication and collaboration skills
Experience with MLOps and productionizing machine learning models
Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes