AI Engineer, Experiences

Era is the AI orchestration layer for the next wave of physical devices. Our platform takes multimodal inputs, orchestrates agents and tools, manages memory, and renders outputs in a partner's distinct style, all in real-time. We just raised our seed.

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The Role

Every device "powered by Era" has a feel: a voice, a personality, and capabilities shaped by the brand it belongs to and the person using it. The speakers from a premium audio company feel completely different from the charm from a fashion house from our own hardware. You'll be the person who makes these experiences feel like nothing that has existed before.

You'll work at the intersection of AI engineering and experience design, building the orchestration logic, prompt architectures, and experience frameworks that give our customers the power to create truly distinct, deeply personalized AI interactions on their devices.

What You'll Do

• Build out the Experience layer of the Era Core platform - the system that defines how a device speaks, thinks, and responds based on curated voice, user context, conversation history, and real-time signals
• Design and implement prompt architectures at scale - curation-specific system prompts, structured output schemas, and agent configurations that maintain distinct personalities
• Build the memory and personalization pipeline. Our memory encoder extracts structured knowledge from conversations via a multi-stage pipeline. You'll work with this system to make every interaction feel like the device truly knows its user
• Create the curation experience toolkit - the frameworks that let partners upload their own agents, define response styles, configure voice personas, and deploy custom agents without touching code
• Design proactive experience systems. Devices that take initiative based on context - time, location, biometrics, cross-device signals, and conversation patterns
• Build cross-device continuity. A user's context, memory, and active experience should flow seamlessly between their Era-powered devices
• Prototype new interaction modalities. As new input types emerge (gesture, EEG, haptics, ambient sensing), you'll explore what an AI experience built on them feels like

What We're Looking For

• Deep experience building with LLMs in production - prompt engineering, agent frameworks, tool-calling, RAG systems, structured output generation
• Strong intuition for what makes AI interactions feel natural and delightful vs. robotic and generic
• Experience designing systems that are both highly configurable (for partners) and coherent (for end users)
• Solid software engineering fundamentals. You'll build production services in Python and TypeScript that handle real-time workloads at scale
• Comfort with multimodal AI - voice, audio, text, vision, and more and the ability to think about how these combine into unified experiences

Nice to Have

• Background in conversational AI, voice assistants, or agent-based systems at consumer scale
• Experience with personalization systems, recommendation engines, or user modeling
• HCI, interaction design, or cognitive science background
• Experience with real-time streaming AI (LiveKit, WebRTC, audio processing pipelines)
• Familiarity with memory and retrieval systems - vector databases, embedding models, hybrid search

SF or remote. We have teams in SF and Australia. Competitive salary, healthcare, and meaningful equity.