AI Engineer (CTO-track) jobs in United States
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Capsule · 2 days ago

AI Engineer (CTO-track)

Capsule is building an AI system that captures, organizes, and interacts with human memory, personality, and voice. They are seeking a senior AI builder to architect Capsule's intelligence layer end-to-end, owning the memory capture, structuring, retrieval, and experience improvement processes.

Computer Software

Responsibilities

Architect the intelligence layer powering Remi and Capsule–includes memory ingestion, structuring, retrieval, and long-term context
Build the memory system (schemas/representations, embeddings + retrieval, summarization, entity/relationship tracking, user controls)
Improve conversation quality: coherence, emotional attunement, safety, and consistency across long time horizons
Design and run evaluation: offline test sets, golden conversations, automated scoring, regression tests, and online quality monitoring
Own experimentation to production: prototype quickly, validate with users, deploy, monitor, iterate
Make infrastructure decisions: model/provider strategy, pipelines, observability, latency/cost tradeoffs, data privacy and retention
Partner with product/design to translate human needs (trust, grief, family dynamics, legacy) into robust technical systems
Lead technically as the team grows: set standards, mentor, and help define hiring priorities over time

Qualification

LLM product deploymentRAG/retrievalEmbeddingsEvaluation/monitoringEngineering fundamentalsVoice technologyNLP backgroundHuman-centered AIAI-assisted workflowsTechnical leadership

Required

Shipped an LLM product to production with real users (quality + reliability mattered)
Hands-on with RAG/retrieval, embeddings, tool/function calling, and orchestration
Built evaluation/monitoring (offline + online) and iterated based on data
Strong engineering fundamentals (APIs, data modeling, security/privacy basics, observability)

Preferred

Former technical founder or early-stage startup lead (0 to 1, shipping under constraints)
Experience with voice (STT, diarization, voice cloning/synthesis, audio pipelines)
Background in NLP, cognitive science, psychology, or human-centered AI
Familiarity with AI-assisted development workflows (Cursor/Codex or similar) to move faster

Benefits

Significant equity

Company

Capsule

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Eternal Legacy, Powered by Ai.

Funding

Current Stage
Early Stage
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