AI Engineer at Vivanti Consulting
South Australia, New South Wales, Australia -
Full Time


Start Date

Immediate

Expiry Date

23 Dec, 26

Salary

65000.0

Posted On

24 Sep, 26

Experience

7 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Industry

Information Services

Description
  • Here’s a taste:A platform for growth: Work across industries, clients and technologies that stretch your thinking and build your personal and professional skills. Support growth of our UK&I business.
  • Access global businesses: Work with some of the world's biggest brands.
  • IP, frameworks and accelerators: We share what we know. Our playbooks and toolkits fast-track your success on projects.
  • All the shiny tech: Databricks, Snowflake, Azure, GCP, AWS, Anthropic, OpenAI, Nvidia, Mistral - you’ll use it, play with it and maybe even break it (responsibly). This extends to coding tools such as Claude Code, Cortex Code, Gemini CLI and OpenAI’s Codex.
  • Progress that’s transparent: Annual reviews based on 360° feedback, just clear goals, solid feedback and real growth. No politics, and no guesswork.
  • Kudos and rewards: We celebrate wins, reward impact and offer long-term incentives.
  • Leadership who have your back: You’ll always have a guide on your journey, not just be thrown into the deep end.
  • Serious learning support: Paid certs, weekly training, guilds, hackathons, mentoring and more.
  • Real connection: High-energy team that values genuine relationships. Expect regular team socials, annual offsites, and plenty of opportunities to connect beyond your day-to-day work.


What We’re Looking For We're on the hunt for people who love solving problems, thinking critically and staying curious. If you’ve worked in data or tech before - amazing. If you’ve got a brain that enjoys untangling complex stuff and applying what you’ve learned - even better!

  • We're less about ticking boxes and more about whether you'd thrive in this environment:Do you get excited about helping clients move forward?
  • Do you want to learn from people who are really good at what they do?
  • Are you keen to experiment with the latest tools and ideas?
  • Can you balance working independently and being a great teammate?


If you said “yes” more than once, let’s talk.

Key Skills... We’re open to people at different experience levels and career stages. Here's a sense of what you'll do and the tools you might use:

We’re looking for an AI/ML engineer who can design, build and operate practical AI-enabled products. The ideal candidate brings strong engineering judgement, hands-on delivery experience, and an ability to select the right technology for the problem—not simply apply the latest tools.

  • You should have experience in several of the following areas:Building production-grade software using Python and/or SQL, with an understanding of maintainable application and data-system design.
  • Developing, evaluating and improving machine-learning and generative-AI solutions, including LLM-powered workflows, retrieval-augmented generation, agents, model evaluation and observability.
  • Working with modern AI model providers and open-source models, and making sound choices around quality, latency, cost, safety and privacy.
  • Designing data pipelines and working with structured and unstructured data, including data warehousing, orchestration and vector search where relevant.
  • Deploying and operating AI or ML workloads in cloud environments, with familiarity in areas such as containerisation, infrastructure automation, monitoring and security.
  • Collaborating with product, data and engineering teams to turn ambiguous business problems into useful, reliable solutions.
  • Communicating technical trade-offs clearly and contributing to engineering standards, documentation and knowledge sharing.


Experience with technologies such as PyTorch, TensorFlow, scikit-learn, LangChain, LlamaIndex, Hugging Face, OpenAI or Anthropic APIs, Langfuse, MLflow, SageMaker, Vertex AI, Azure Machine Learning, Docker, Kubernetes, Terraform, Databricks, Snowflake, BigQuery, Spark, Airflow, dbt, FastAPI, React, and vector databases may be useful.-AWS Bedrock or MSFT Foundry is highly valuable

These tools are indicative only. We do not expect candidates to have experience with every technology listed; we value demonstrated capability, strong fundamentals, and the ability to learn and apply appropriate tools as the landscape evolves.

Perks & Benefits Your work matters and so do you. That’s why we back your skills with a structure that supports your development, celebrates your wins, and helps you keep growing - professionally and personally.

How To Apply:

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Responsibilities
  • Here’s a taste:A platform for growth: Work across industries, clients and technologies that stretch your thinking and build your personal and professional skills. Support growth of our UK&I business.
  • Access global businesses: Work with some of the world's biggest brands.
  • IP, frameworks and accelerators: We share what we know. Our playbooks and toolkits fast-track your success on projects.
  • All the shiny tech: Databricks, Snowflake, Azure, GCP, AWS, Anthropic, OpenAI, Nvidia, Mistral - you’ll use it, play with it and maybe even break it (responsibly). This extends to coding tools such as Claude Code, Cortex Code, Gemini CLI and OpenAI’s Codex.
  • Progress that’s transparent: Annual reviews based on 360° feedback, just clear goals, solid feedback and real growth. No politics, and no guesswork.
  • Kudos and rewards: We celebrate wins, reward impact and offer long-term incentives.
  • Leadership who have your back: You’ll always have a guide on your journey, not just be thrown into the deep end.
  • Serious learning support: Paid certs, weekly training, guilds, hackathons, mentoring and more.
  • Real connection: High-energy team that values genuine relationships. Expect regular team socials, annual offsites, and plenty of opportunities to connect beyond your day-to-day work.


What We’re Looking For We're on the hunt for people who love solving problems, thinking critically and staying curious. If you’ve worked in data or tech before - amazing. If you’ve got a brain that enjoys untangling complex stuff and applying what you’ve learned - even better!

  • We're less about ticking boxes and more about whether you'd thrive in this environment:Do you get excited about helping clients move forward?
  • Do you want to learn from people who are really good at what they do?
  • Are you keen to experiment with the latest tools and ideas?
  • Can you balance working independently and being a great teammate?


If you said “yes” more than once, let’s talk.

Key Skills... We’re open to people at different experience levels and career stages. Here's a sense of what you'll do and the tools you might use:

We’re looking for an AI/ML engineer who can design, build and operate practical AI-enabled products. The ideal candidate brings strong engineering judgement, hands-on delivery experience, and an ability to select the right technology for the problem—not simply apply the latest tools.

  • You should have experience in several of the following areas:Building production-grade software using Python and/or SQL, with an understanding of maintainable application and data-system design.
  • Developing, evaluating and improving machine-learning and generative-AI solutions, including LLM-powered workflows, retrieval-augmented generation, agents, model evaluation and observability.
  • Working with modern AI model providers and open-source models, and making sound choices around quality, latency, cost, safety and privacy.
  • Designing data pipelines and working with structured and unstructured data, including data warehousing, orchestration and vector search where relevant.
  • Deploying and operating AI or ML workloads in cloud environments, with familiarity in areas such as containerisation, infrastructure automation, monitoring and security.
  • Collaborating with product, data and engineering teams to turn ambiguous business problems into useful, reliable solutions.
  • Communicating technical trade-offs clearly and contributing to engineering standards, documentation and knowledge sharing.


Experience with technologies such as PyTorch, TensorFlow, scikit-learn, LangChain, LlamaIndex, Hugging Face, OpenAI or Anthropic APIs, Langfuse, MLflow, SageMaker, Vertex AI, Azure Machine Learning, Docker, Kubernetes, Terraform, Databricks, Snowflake, BigQuery, Spark, Airflow, dbt, FastAPI, React, and vector databases may be useful.-AWS Bedrock or MSFT Foundry is highly valuable

These tools are indicative only. We do not expect candidates to have experience with every technology listed; we value demonstrated capability, strong fundamentals, and the ability to learn and apply appropriate tools as the landscape evolves.

Perks & Benefits Your work matters and so do you. That’s why we back your skills with a structure that supports your development, celebrates your wins, and helps you keep growing - professionally and personally.

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