Role overview
As a Backend Engineer at Demi AI you will own and lead the core systems that make the assistant work. This is a high-ownership high-autonomy role at a company with real paying users and strong institutional backing where your work will have immediate and visible impact on the product.
Key responsibilities
- Context retrieval Design and build performant systems that surface the right information at the right time across a wide range of unstructured data sources including email calendar meetings and third-party integrations. This is a nuanced retrieval problem that goes well beyond standard search.
- Agentic systems Architect and ship agents capable of taking real action across tools on behalf of the user. This includes building robust permission models and encoding user preferences so the assistant behaves appropriately in every context.
- Continual learning Develop the memory and feedback infrastructure that allows the product to improve meaningfully with every user interaction moving the assistant closer to a true understanding of each individual over time.
You will thrive if
Beyond strong backend engineering fundamentals the ideal candidate is product-minded comfortable engaging directly with customers and genuinely excited about the future of AI-powered productivity. You should be at ease making architectural decisions not just executing against a spec.
Tech stack
Typescript React
Role overview As a Backend Engineer at Demi AI you will own and lead the core systems that make the assistant work. This is a high-ownership high-autonomy role at a company with real paying users and strong institutional backing where your work will have immediate and visible impact on the product. ...
Role overview
As a Backend Engineer at Demi AI you will own and lead the core systems that make the assistant work. This is a high-ownership high-autonomy role at a company with real paying users and strong institutional backing where your work will have immediate and visible impact on the product.
Key responsibilities
- Context retrieval Design and build performant systems that surface the right information at the right time across a wide range of unstructured data sources including email calendar meetings and third-party integrations. This is a nuanced retrieval problem that goes well beyond standard search.
- Agentic systems Architect and ship agents capable of taking real action across tools on behalf of the user. This includes building robust permission models and encoding user preferences so the assistant behaves appropriately in every context.
- Continual learning Develop the memory and feedback infrastructure that allows the product to improve meaningfully with every user interaction moving the assistant closer to a true understanding of each individual over time.
You will thrive if
Beyond strong backend engineering fundamentals the ideal candidate is product-minded comfortable engaging directly with customers and genuinely excited about the future of AI-powered productivity. You should be at ease making architectural decisions not just executing against a spec.
Tech stack
Typescript React
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