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 11 months ago
This role is expired
These roles are hiring now
View all AI roles →Conversational AI Technical Specialist
Auto & General
Birtinya, QLD
- Design, develop and deploy Conversational AI solutions in Genesys Cloud
- Proven experience in AI, ML or NLP development roles
- GCP, Dialogflow, Vertex AI, API integration, NLP
Posted 3d ago
AI Engineer Agent Ops
Westpac Group
Sydney, NSW | Melbourne, VIC
hybrid- Build and support AI/LLM operations capabilities at enterprise scale
- Experience building applications, integrations or cloud infrastructure
- APIs, CI/CD, IaC, containers, AWS/Azure, Kubernetes, Python
Posted 1d ago
Senior Full-Stack Product Engineer | Node.js, AI-Native (Boosters R&D)
Jobgether
Australia
remote- Backend & full-stack development in personal digital security space
- 4+ years backend/full-stack experience in product-led companies
- Node.js, TypeScript, React/Next.js, AWS, PostgreSQL, AI-powered tools
Posted 3d ago
Account Director, Enterprise | ANZ
OpenAI
Sydney, NSW
hybrid- Manage ANZ territory, drive enterprise sales from consideration to deployment
- 7+ years PaaS/SaaS sales experience, 3+ years achieving $2M+ targets
- Enterprise sales, C-level engagement, technical communication, AI passion
Posted 2d 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