Principal AI Software Engineer & Architect – Sydney

UpperGround by Hudson

Sydney

On-site

AUD 180,000 - 280,000

Full time

3 days ago

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Job summary

UpperGround by Hudson in Sydney is seeking a Principal Software Engineer to lead the AI engineering team responsible for an AI-powered data enrichment product. You will own the technical anchor for architecture, reliability, security, and performance while hands-on coding and reviewing PRs.

This role requires deep back-end Java with Spring, experience in AI/ML product delivery, and collaboration with data scientists.

Qualifications

Degree, or equivalent, in a relevant field such as computer science/engineering, software engineering, machine learning, mathematics or a related quantitative discipline.
At least 10 years' software engineering experience, with a track record of providing technical solutions to complex problems at scale.
Experience developing an AI / ML product is highly desirable - familiarity with the realities of shipping AI features, agents or model-backed products.
Strong backend Java and experience with Spring framework; ideally full-stack (80/20 backend/frontend) with TypeScript and React front end. Backend essential, frontend nice-to-have.
Python exposure valuable given our model-backed components; comfort working alongside data scientists and ML workflows.
Experience across on-prem and SaaS/cloud delivery (Docker, Kubernetes, Helm, AWS) is desirable.
Experience building or integrating AI/LLM-backed features, agents or agentic workflows is highly desirable.
Familiarity with NLP, document intelligence or data-enrichment technologies (or adjacent) is a strong plus.
Hands-on and strategic, a strong communicator and consensus builder, comfortable operating across multiple teams and tech stacks and driving clarity in ambiguity.
Self-driven, autonomous and able to demonstrate initiative for technical improvements.

Responsibilities

Take a leading role in application architecture, partnering with the Architecture function to define and converge on target-state technology and patterns.
Set, refine and uphold engineering standards across code style, code quality, security, and secure-by-design practices.
Improve reliability and performance across the product, and guide others to do the same; troubleshoot, triage and resolve complex customer problems.
Contribute production code and provide thoughtful, pragmatic reviews on complex PRs.
Mentor engineers across levels, growing the technical capability of a distributed team.
Contribute to innovation, technical planning and ways of working - including how we design, evaluate and ship AI agents and agentic workflows in the platform.