Full stack AI Engineer
Expired
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Virtusa
Sydney NSW
Full Time
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Posted 7 months ago
This role is expired
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View all AI roles →AI Manager
GPT
Sydney, NSW
hybrid- Lead AI roadmap and build internal AI team and Centre of Excellence
- 10+ years tech/product/consulting, 4-5+ years leading AI/data teams
- GenAI, agentic patterns, RAG, workflow automation, ML production delivery
Posted 7d ago
Senior Data Engineer
Lendi Group
Sydney, NSW
hybrid- Design, develop & deploy scalable data pipelines for AI automation systems
- 3+ years data engineering experience
- Snowflake, Databricks, Python, SQL, dbt, Airflow, AWS, Terraform
Posted 1d ago
AI Capability Lead
Legal Aid Queensland
Brisbane Inner City, QLD
$144,664 - $155,610 per yr
- Lead AI strategy, implementation, and capability development
- Experience in digital capability uplift programs and AI policy advice
- Generative AI, machine learning, data science, governance, stakeholder mgmt
Posted 7d ago
Junior Machine Learning Engineer
Arkeus
Australia
- Train & deploy ML models for airborne object detection & classification
- Recent graduate or completing Master's degree
- Python, PyTorch, CNNs, computer vision, object detection
Posted 6d ago
JD:
Technical Skills
- Frontend: React, TypeScript, Next.js, design systems (e.g. Figma-based, token-driven)
- Backend: Python, Node.js, Java, .NET Core, C#
- Databases: SQL, NoSQL (Postgres, MongoDB)
- Data Technologies: AWS-native tools (DynamoDB, Aurora, S3, Glue, Athena, Redshift)
- Architecture: Microservices, event-driven systems, distributed design
- Cloud: AWS (e.g. Certified Developer/Architect), Azure
- DevOps: GitHub Actions, Jenkins
- Containers: Docker, Kubernetes
- Security: Secure-by-design systems, threat modelling
- Testing: Unit, regression, contract testing, CI/CD automation
- Observability: Prometheus, Grafana, OpenTelemetry (if relevant)
AI & Emerging Technology
- Understand how AI and machine learning can enhance software engineering workflows and productivity
- Have experience or interest in building AI-assisted engineering tools or AI-integrated applications (e.g., using LangChain, LlamaIndex, or GenAI APIs)
- Use AI-powered coding assistants like GitHub Copilot, Cursor, Continue, or Aider in day-to-day development
- Are curious about agentic systems and AI experimentation in real-world product environments
JD:
Technical Skills
- Frontend: React, TypeScript, Next.js, design systems (e.g. Figma-based, token-driven)
- Backend: Python, Node.js, Java, .NET Core, C#
- Databases: SQL, NoSQL (Postgres, MongoDB)
- Data Technologies: AWS-native tools (DynamoDB, Aurora, S3, Glue, Athena, Redshift)
- Architecture: Microservices, event-driven systems, distributed design
- Cloud: AWS (e.g. Certified Developer/Architect), Azure
- DevOps: GitHub Actions, Jenkins
- Containers: Docker, Kubernetes
- Security: Secure-by-design systems, threat modelling
- Testing: Unit, regression, contract testing, CI/CD automation
- Observability: Prometheus, Grafana, OpenTelemetry (if relevant)
AI & Emerging Technology
- Understand how AI and machine learning can enhance software engineering workflows and productivity
- Have experience or interest in building AI-assisted engineering tools or AI-integrated applications (e.g., using LangChain, LlamaIndex, or GenAI APIs)
- Use AI-powered coding assistants like GitHub Copilot, Cursor, Continue, or Aider in day-to-day development
- Are curious about agentic systems and AI experimentation in real-world product environments