In-Demand Software engineer generative ai Jobs

Senior Engineer - ML Systems (AI Products)
Xero —Sydney NSW
- Full-time
- Hybrid work
- Systems design
- Research
- Master's degree
10d
Forward Deployed Engineering Manager, Gen AI
Google —Sydney NSW
- Full-time
- Doctoral degree
- Computer Science
- Engineering
ML Engineer
Kogan —South Melbourne VIC
- Full-time
- Master's degree
- SQL
- Machine learning
- Wellness program
Software Engineer, DevOps
h2o.ai —Sydney NSW
- Full-time
- Azure
- Computer Science
- DevOps
Quick Apply
Sr Delivery Consultant: Agentic AI FullStack SDE, AWS Professional Services
Amazon Web Services Australia Pty Ltd —Perth WA
- Full-time
- Master's degree
- AWS
- Software development
1d
Solutions Architect (AI Native SDLC)
EPAM Systems, Inc. —Remote
- Remote
- Azure
- Master's degree
- AWS
IP Network Engineer
Capgemini Sogeti —Sydney NSW
- Hybrid work
- Computer Science
- Bachelor's degree
- AI
8d
Machine Learning Engineer
Timescapes —Sydney NSW
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Bachelor's degree
- Health insurance
- Employee assistance program
Quick Apply
Senior/Principal Machine Learning Engineer - Aus
Harrison.ai —Sydney NSW
- Full-time
- Remote
- Doctoral degree
- Research
- AWS
10d
Senior AI Engineer
h2o.ai —Sydney NSW
- Full-time
- AWS
- Machine learning
- APIs
Quick Apply
IP Network Engineer
Capgemini —Sydney NSW
- Hybrid work
- Computer Science
- Bachelor's degree
- AI
Full Stack Engineer
Karmo Pty Ltd —Brisbane QLD
- $135,000 - $140,000 a year
- Full-time
- Hybrid work
- AWS
- APIs
- Agile
- Parental leave
Quick Apply
Senior AI Engineer
Fivecast —Adelaide SA
- Full-time
- Computer Science
- AWS
- Bachelor's degree
2d
Delivery Manager (AI in SDLC)
EPAM Systems, Inc. —Remote
- Remote
- Machine learning
- AI
- SDLC
8d
Cyber Security Engineer
Corto Pty Ltd —Sydney NSW
- Full-time
- Hybrid work
- AWS
- Analysis skills
- AI
- Gym membership
Quick Apply
Principal Technology Product Owner- Gen AI, Responsible AI
Commonwealth Bank —Melbourne VIC
- Full-time
- Azure
- SQL
- AWS
Sr Delivery Consultant: GenAI FullStack SDE, AWS Professional Services
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- DevOps
- Master's degree
- AWS
14d
BIM Systems Administrator, DC Design Engineering
Amazon Corporate Services Pty Ltd —Sydney NSW
- Full-time
- AutoCAD
- CAD
- Engineering
10d
IP Core / MPLS / BGP Engineer Needed - Telco Program
Capgemini Sogeti —Melbourne VIC
- Hybrid work
- Computer Science
- Bachelor's degree
- AI
8d
Senior AI Engineer
Orica —Cannon Hill QLD
- Full-time
- Master's degree
- Bachelor's degree
- No degree
8d

I want to receive the latest job alert for software engineer generative ai

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

software engineer generative ai jobs near

Ai Developer jobs in Sydney NSW

Full Stack Developer jobs in Perth WA

Engineer jobs in Melbourne VIC

Machine Learning Engineer jobs in Sydney NSW

Full Stack Developer jobs in Brisbane QLD

Full Stack Developer jobs in Melbourne VIC

Network Engineer jobs in Sydney NSW

Software Engineer jobs in Sydney NSW

Ai Developer jobs in Brisbane Qld

Ai Developer jobs in Sydney Olympic Park Nsw

Ai Developer jobs in North Ryde Nsw

Entry Level Developer jobs in Paddington Nsw

Junior Software Developer Rea jobs in Richmond Vic

Ai Developer jobs in Melville Wa

Full Time, Retail, Reception jobs in Ipswich Qld

Game Developer, Internship jobs in Melbourne Vic

Full Stack Developer jobs in Sydney Inner Suburbs Nsw

Full Stack Developer jobs in Darlinghurst Nsw

Full Time Part Time Work From Home Jobs jobs in Mount Druitt Nsw

Full Time jobs in Whittington Vic

Senior Engineer - ML Systems (AI Products)

Xero -
Sydney NSW

Apply Now

Job Details

Full-time
10 days ago

Qualifications

Law
Systems design
Research
Xero
Master's degree
SQL
AWS
AI

Full Job Description

The role

You will lead the design and implementation of large-scale, production-grade distributed systems that power AI features for millions of daily users. You'll own the architecture decisions that keep our systems flexible, cost-effective, and robust, direct strategy for distributed systems, and manage technical debt across the AI Products estate.

Beyond architecture, your impact lies in lifting the technical capability of the entire AI Products team. You will champion engineering excellence, mentor junior engineers, and collaborate across Xero to enhance data usability - applying modern AI research, including Large Language Models, only once it can be engineered into reliable, production-grade systems.

The team

You will join the AI Products group, a diverse team of scientists, engineers, product managers, and analysts within our broader Data & Science division. As a Machine Learning Engineer, you'll partner closely with Applied Scientists to build the interfaces and harnesses that safely and reliably transition models from research into production. Together, this collaborative team reduces toil and delivers beautiful, data-driven insights for small businesses.

The team is currently working on

Designing and building highly scalable, distributed production infrastructure to support generative AI features
Harnessing tools like Python, SQL, and distributed processing engines such as Spark or Dask to handle web-scale data workload.
Deploying to production environments running on AWS and Kubernetes Integrating modern Large Language Model technologies into product features once they're production-ready

Where and how you can work

Xero offers a flexible hybrid working model designed to blend the collaboration of office life with the autonomy of remote work. You will have access to our modern office spaces, with expectations around office days and collaborative 'boost days' aligned to help your team connect and ship great code effectively.

Here are some of the things we are looking for

5+ years building and operating production Python (or equivalent language) services at scale - this is a software engineering role first; strong system design and coding proficiency are non-negotiable
A track record of owning services or pipelines in production, including operational/on-call responsibility, incident response, and managing technical debt over time
Deep understanding of distributed processing principles (Spark, Dask, or similar) alongside strong SQL capabilities
Demonstrated experience integrating ML models or LLM-based features into production systems - you don't need a research background, but you should be comfortable working alongside Applied Scientists to productionize their work
Familiarity with ML tooling such as MLFlow, TensorFlow, or PyTorch, and data orchestration tools like Airflow or Prefect, is valued but production engineering depth matters more than research exposure
Nice to have: prior experience applying or fine-tuning LLMs in a product context, though this is not a substitute for the core software engineering bar above

Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Apply Now

Refine Your Search

software engineer generative ai jobs

Senior Engineer - ML Systems (AI Products)

Forward Deployed Engineering Manager, Gen AI

ML Engineer

Software Engineer, DevOps

Sr Delivery Consultant: Agentic AI FullStack SDE, AWS Professional Services

Solutions Architect (AI Native SDLC)

IP Network Engineer

Machine Learning Engineer

Senior/Principal Machine Learning Engineer - Aus

Senior AI Engineer

IP Network Engineer

Full Stack Engineer

Senior AI Engineer

Delivery Manager (AI in SDLC)

Cyber Security Engineer

Principal Technology Product Owner- Gen AI, Responsible AI

Sr Delivery Consultant: GenAI FullStack SDE, AWS Professional Services

BIM Systems Administrator, DC Design Engineering

IP Core / MPLS / BGP Engineer Needed - Telco Program

Senior AI Engineer

I want to receive the latest job alert for software engineer generative ai

Related Searches

Explore jobs in more locations

Job Seeker Tools

Employer Tools

Browse

Stay Connected