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Onsite or remote • San Francisco+5🌐 Remote💼 Full-time🗓 2026-06-25 → 2026-09-26

Core

Design and implement the agent layer (pipelines, reasoning chains, memory retrieval, tool integrations) that transforms LLM capabilities into a platform replacing the app paradigm.

Role type

Senior IC AI Engineer (Agentic AI Platform)

Builds

The platform agent runtime, multi-provider LLM routing, RAG architecture, tool integration pipelines, agent evaluation frameworks, and on-device inference optimization.

Domain

Artificial Intelligence / Agentic Systems / LLM Infrastructure

Deliverable

production ML models

Required skills

LLM integration and pipeline architecture, RAG and vector database management, agent orchestration frameworks, Python production engineering, LLM output evaluation at scale, multi-model routing strategies, AI-assisted development tooling.

Preferred skills

On-device or edge inference optimization, multi-agent system design, streaming inference architectures, privacy-preserving AI systems, wearable or mobile AI platform experience.

Technologies

LangChain, LlamaIndex, AutoGen, Python, Cursor, Claude, Copilot, Core ML, ONNX, TensorFlow Lite.

Responsibilities

Own the agentic runtime architecture, write production code for agent interactions, design memory and context systems, decide on model routing strategies, build evaluation frameworks for agent quality, optimize inference for on-device execution.

Seniority

Senior, hands-on IC

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