Full-Stack AI Engineer (MVP Development, Voice & RAG Systems)

Full-Stack AI Engineer (MVP Development, Voice & RAG Systems)

Company details

Description of the offer

Echotree is a legacy storytelling platform that creates interactive AI personas called Echoes, built from a person’s voice, memories, and life story. We facilitate long-form interviews with clients where we gather ~80,000 words of data to create an AI reflection of the individual that family members and friends can interact with. For example, a grandchild can ask their grandparent’s Echo about their wedding day and hear all the details back in their same voice.

We already have a working proof of concept (text-based Echo chat using Gemini + Supabase + Vercel). Now we’re looking for a strong developer to help us bring the next layer to life.

This role will begin on a project basis, building out the next critical features of Echotree. If it’s a great fit, there’s a clear path to transition into a long-term role with potential equity as a founding engineer.

You’ll be responsible for:

• Integrating voice playback into the chat UI (with fallback, caching, and per-Echo account mapping).
• Adding a per-Echo voice usage meter and quota enforcement system (hard cap, usage tracking, alerts).
• Implementing basic monitoring/logging (Supabase logs, error handling, Slack alerts).
• Extending our existing Supabase/Vercel/Gemini backend.
• Polishing our UI and smoothing out bugs/inconsistencies.
• Laying groundwork for subscription automation (free trial logic, tier enforcement, Stripe integration).
• Optimizing our RAG pipeline (embedding transcripts, semantic retrieval, reducing Gemini API costs).

This is a hands-on coding role with a lot of ownership. We’re looking for someone who can move quickly, is interested in the larger mission of the project, and can grow alongside Echotree as we scale.

Location of employment

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