ego · US ·
Build and maintain the core runtime for AI agents, including durable execution, tool-calling loops, and long-horizon memory management, using backend systems and LLM tooling.
Nuro · Mountain View, California (HQ)
demandbase · Hyderabad
Render · Remote: United States
Clay Labs · New York
Member of Technical Staff: Agent Runtime (Ego) Location: San Francisco, CA (hybrid) · Reports to: Founding team
Ego AI is a YC-backed applied AI research lab building the behavioral infrastructure for AI companions and agents. We work at the intersection of real-time conversational instincts, memory, and persistent identity; the layer that makes AI feel genuinely alive. We're a small, fast-moving team and we're defining a new category of human-AI interaction.
Own the agent harness. Design and maintain our core agentic loop (plan → tool call → observe → repeat → finalize) as a small, legible state machine. Errors are first-class: malformed tool calls, hallucinated tool names, and throwing tools get fed back to the model. They never crash the loop.
Make execution durable. Build checkpointed, resumable sessions backed by a database: step logs with pending/committed status, idempotency keys on side-effecting tools, and a clear account of the at-least-once vs exactly-once boundary. A crash between the LLM call and the tool call, or mid-compaction, must never corrupt a session or double-fire a POST.
Solve long-horizon context. Own our compaction strategy: pinned goals, running summaries, sliding windows of recent turns, and retrieval over older state. A 30+-step task should finish aimed at the original goal, within budget.
Design for extensibility. Ship a tool registry (name + JSON schema + handler) that teammates and partners can extend without touching the loop. Validate schemas before handlers run. Keep model adapters swappable in one place.
Ship deployable systems. Deliver one-command local bring-up, persistence behind an interface (Postgres ↔ SQLite ↔ Cloudflare storage), clean HTTP APIs, and secrets hygiene. Build per-user durable agent instances that wake on triggers (cron, webhooks, inbound events). Cloudflare Durable Objects experience is a real plus.
Support the team. Unblock product engineers building on the harness, pair on extensions, and review agent-adjacent designs.
Productionize the agent runtime ("Ronin core"). Take our harness from working prototype to the shared runtime every Ego product sits on: durable step log, budget enforcement, compaction, tool registry, and observability/tracing.
Per-user durable personal agents. Each user gets a long-lived agent instance with its own memory, triggers, and budget. It wakes on webhooks or cron, survives restarts, and stays isolated per tenant. Likely on Cloudflare Durable Objects or an equivalent single-writer model.
Evaluation and reliability harness. Build repeatable crash tests (kill -9 mid-task and mid-compaction), race tests on concurrent session writes, cheap long-horizon stubs that exercise compaction without burning tokens, and per-step tracing.
Must have
docker compose up working cold from a README.Nice to have
Use AI tools freely. We do. You will walk us through the design and defend every trade-off, so own each decision in the repo.
Comand AI · Paris