AI Product Engineer for Agriculture Solutions

The Ruby Group

Toowoomba Regional

On-site

AUD 90,000 - 130,000

Full time

7 days ago
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Job summary

The Ruby Group, an Australian leader in agricultural software, seeks a curious and proactive professional to explore AI and emerging technologies. You will identify opportunities, work closely with customers and teams, and translate ideas into practical product features and solutions.

Ideal candidates are comfortable with ambiguity, enjoy problem solving, and can research, analyze information, and turn ideas into tangible outcomes.

Qualifications

  • Experience in AI, technology, software, product development, business analysis, agriculture, engineering, automation or geospatial systems would be useful, but is not essential.
  • A relevant degree in areas such as Computer Science, Engineering, Data Science, Business or a related field is advantageous, although equivalent experience and demonstrated capability will also be considered.

Responsibilities

  • Identify opportunities to apply AI and emerging technology to new and existing products.
  • Work with customers and internal teams to understand problems and identify potential solutions.
  • Research AI capabilities, market trends and emerging technologies.
  • Develop and test ideas, prototypes and proof-of-concepts.
  • Translate technical possibilities into practical product features.
  • Help shape product requirements, priorities and future development.
  • Work with engineers, designers and other team members to iterate on solutions.
  • Test concepts and gather feedback to improve usability and value.
  • Prepare clear documentation, presentations and recommendations for stakeholders.
  • Stay up to date with developments in AI and emerging technology.

Job description

The Ruby Group, an Australian leader in agricultural software, seeks a curious and proactive professional to explore AI and emerging technologies. You will identify opportunities, work closely with customers and teams, and translate ideas into practical product features and solutions.

Ideal candidates are comfortable with ambiguity, enjoy problem solving, and can research, analyze information, and turn ideas into tangible outcomes.

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