Senior AI Engineer β€” Remote GenAI & RAG Systems in Sydney

Senior AI Engineer β€” Remote GenAI & RAG Systems in Sydney

Sydney Full-Time 55688 - 68063 $ / year (est.) Remote
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At a Glance

  • Tasks: Design and implement cutting-edge AI solutions for enterprise clients.
  • Company: Boutique AI consultancy with a focus on innovation and collaboration.
  • Benefits: 100% remote work, autonomy-driven culture, and opportunities for continuous learning.
  • Other info: Fast-paced environment with opportunities for mentorship and career growth.
  • Why this job: Shape the future of AI while working with top-tier technologies and talented teams.
  • Qualifications: Experience in AI engineering and strong communication skills.

The predicted salary is between 55688 - 68063 $ per year.

Tensor Ops is a boutique AI consultancy delivering production-grade ML systems for enterprise clients across AWS, GCP, and Azure.

We design, ship, and operate end-to-end solutions including RAG pipelines, agentic workflows, and embeddings.

Joining us means collaborating with client teams, mentoring engineers, and shaping internal tooling and standards as we grow. 100% remote by design, with a fast-moving, autonomy-driven culture that rewards clear communication and continuous learning.

Senior AI Engineer β€” Remote GenAI & RAG Systems in Sydney employer: TensorOps

TensorOps offers a 100% remote work environment, fostering a fast-moving and autonomy-driven culture that values clear communication and continuous learning. Employees have the opportunity to collaborate with client teams, mentor fellow engineers, and contribute to shaping internal tooling and standards as the company grows. This focus on professional development and a supportive work culture makes TensorOps an attractive employer for those in the AI consultancy space.

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Contact Details:

TensorOps Recruitment Team

We think you need these skills to ace Senior AI Engineer β€” Remote GenAI & RAG Systems in Sydney

Machine Learning
RAG Pipelines
Agentic Workflows
Embeddings
Cloud Platforms (AWS, GCP, Azure)
Collaboration
Mentoring