GenAI Solutions Engineer — Deploy & Orchestrate AI

Nearheal Pty Ltd (trading as Nearheal)

Sydney

On-site

AUD 120,000 - 180,000

Full time

35 hours ago
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Job summary

Sia is seeking a talented AI engineer to join the AI & Data Unit in Sydney. You will design, build, and deploy enterprise-grade GenAI systems, collaborating with data scientists, ML engineers, solution architects, and platform engineers to deliver measurable business value.

You hold a Master’s degree and have at least one year of technical experience with Python and Generative AI frameworks, plus cloud-native deployment know-how to accelerate time to market.

Qualifications

  • Master's degree in computer science, engineering, or AI.
  • At least 1 year of experience building creative AI solutions.
  • Proficiency in Python and code versioning.
  • Familiarity with Generative AI frameworks and cloud-native deployments.

Responsibilities

  • Assist the GenAI Solution Architect in designing scalable AI solutions.
  • Develop applications powered by foundation models, self-managed or API-based.
  • Design prompting, orchestration strategies, and improve reliability and UX.
  • Architect AI solutions integrating enterprises systems, APIs, and data sources.
  • Evaluate models based on requirements, performance, latency, and cost.
  • Monitor production AI systems and contribute to observability and governance.
  • Conduct research on foundation models, multimodal AI, and agentic AI.

Skills

Python programming
Communication
Team collaboration
Problem solving

Education

Master's degree in CS/AI

Tools

LangChain
LangGraph
RAG
OpenAI ecosystem

Job description

Sia is seeking a talented AI engineer to join the AI & Data Unit in Sydney. You will design, build, and deploy enterprise-grade GenAI systems, collaborating with data scientists, ML engineers, solution architects, and platform engineers to deliver measurable business value.

You hold a Master’s degree and have at least one year of technical experience with Python and Generative AI frameworks, plus cloud-native deployment know-how to accelerate time to market.

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