Sonder16 followers14 jobs

Full Stack AI Software Engineer

Mid levelFull-timeHybridSydney NSW, AustraliaDataInformation technologySoftware engineeringPosted 1 month ago
View your fit0 of 9 criteria met

About the job

As a Full Stack AI Software Engineer at Sonder, you will play a crucial role in designing, building, and scaling the technology that powers our innovative platform. Your work will directly impact how our members receive support, blending technology with human expertise to create meaningful change. Join a collaborative team that values adaptability and creativity, and be part of a mission to transform workplace wellbeing.

You'll be responsible for

🔧

Building and maintaining features

End-to-end engineering to build and maintain scalable features across front-end and back-end systems, ensuring performance, security, and reliability.
✨

Integrating AI solutions

Designing and implementing AI-powered features, including conversational agents and predictive systems that improve user experiences.
🤝

Collaborating with teams

Working with product managers, designers, data scientists, and other engineers to define opportunities where AI can add value.

Skills you'll need

💻

Full stack software engineering

Experience in building and maintaining scalable features across front-end and back-end systems, ensuring performance, security, and reliability.
🤖

AI/ML technologies

Familiarity with AI/ML frameworks and APIs, including TensorFlow, PyTorch, and OpenAI, to design and implement AI-powered features.
🌐

API design and consumption

Experience in designing and consuming APIs, including RESTful and/or GraphQL, to enhance product functionality.
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Meet the team

About the company

View your fit

0 of 5 criteria met
Full stack software engineering experience (3+ years)
Proven experience in both front-end and back-end development.

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AI/ML technologies familiarity
Experience with AI frameworks like TensorFlow or PyTorch.

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API design and consumption skills
Demonstrated ability to design and use RESTful or GraphQL APIs.

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Cloud platform experience
Hands-on experience with AWS, GCP, or Azure.

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Database knowledge
Strong understanding of SQL and NoSQL databases.

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