
Software Engineer – GenAI, Data Engineering
Vista Group
full-time
Posted on:
Location Type: Hybrid
Location: Auckland • 🇳🇿 New Zealand
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
.NETPython
About the role
- Develop generative AI solutions for knowledge processing, including Retrieval-Augmented Generation (RAG) pipelines and agentic AI systems
- Build and maintain data engineering pipelines to support AI and analytics workloads
- Collaborate with engineering teams to embed AI and data best practices into development processes
- Implement and help define coding standards and patterns for AI and data-driven applications
- Solve complex problems using innovative AI frameworks and scalable data solutions
- Actively integrate generative AI tools and models into daily workflows
- Stay ahead of emerging AI and data engineering trends and apply them to real-world solutions
Requirements
- Experience in generative AI and data engineering
- Skilled in Python and C# .NET, with a focus on AI and data integration
- Solid understanding of modern software engineering principles and their application in AI and data-driven solutions
- Extensively use generative AI in your day-to-day work to accelerate development and problem-solving
- For this role, we are currently only considering applicants with the right to live and work in New Zealand without the need for employer sponsorship.
Benefits
- Being part of a passionate team that values innovation and collaboration
- Work on products that make a real impact in the entertainment industry
- Enjoy a supportive environment that encourages growth and learning
- Outstanding flexibility to support a healthy work-life balance
- Hybrid working (home and office-based split)
- Medical and Life insurance
- Volunteer day, enhanced paid parental leave and wellness benefits
- Fun team events including the Vista Innovation Cup
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
generative AIdata engineeringPythonC# .NETAI frameworksdata solutionscoding standardsdata-driven applicationsRetrieval-Augmented Generation (RAG)analytics workloads
Soft skills
collaborationproblem-solvinginnovation