Senior Gen AI Software Engineer

1 week ago


Sydney, New South Wales, Australia Transfit Australia Full time $120,000 - $200,000 per year

Transfit is on a mission to build Australia's preeminent Gen AI practice.

To service our blue chip clientele and their cutting edge Gen AI use cases, we are hiring only elite Gen AI Software Engineers with considerable cross-functional software development and data related skills and experience leveraging the latest Gen AI and associated tech stack.

We currently have three long term contract roles in Sydney for 'hands-on'
Senior Gen AI Software Engineers
. To be eligible, you will have 7+ years of classic software development experience, including solution architecture, coupled with demonstrable hand on experience building scalable, secure, and responsible
enterprise grade
Gen AI and Agentic solutions, preferably in a banking environment.

So if you're confident about showcasing your elite skills and experience across the following technologies and practices, and you want to join our team of trail blazing Gen AI thought leaders and practitioners, apply for this career defining opportunity today.

Please note
: No grads, junior developers, agencies, or outsourcers please.

Key Responsibilities

Design and implement Gen AI models and pipelines using LLMs, GANs, VAEs, and transformer-based architectures.

Develop agentic solutions and contribute to the Gen AI platform ecosystem (e.g., GenAI Studio, Secure Studio, Assistant, Gateway).

Collaborate with product managers, data scientists, and engineers to translate business needs into AI-powered solutions.

Lead technical design discussions and mentor junior engineers in best practices for Gen AI development.

Ensure responsible AI practices including fairness, transparency, and privacy guardrails.

Contribute to the development of reusable components, templates, and cookbooks for internal Gen AI use cases.

Required Skills & Experience

Strong programming skills in Python and experience with full-stack development

Considerable hands-on experience with the following AI "tech stack"

  • AWS Cloud
  • EKS / ECS
  • Bedrock
  • Semantic Kernel
  • LangChain
  • LangGraph
  • HuggingFace
  • SageMaker

Deep understanding of foundational models, prompt engineering, and fine-tuning techniques

Demonstrated ability to deliver Gen AI solutions at scale in production environments

Experience with agent-based architectures and multi-agent orchestration

Experience delivering solutions in a banking environment

Experience in fraud detection, customer personalisation, or conversational AI is a plus

  • Experience in fraud detection, customer personalisation, or conversational AI is a plus

Strong communication and stakeholder engagement skills



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