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Job description
Engineering Remote (US / Canada) Full-time $165k to $210k + equity + profit share
We don't build demos. We ship AI systems that run in production and tie to arevenue number. As a Senior AI Engineer at Native Bridge, you'll own thehardest, most interesting part of that promise: turning ambiguous use casesinto agents, RAG systems, and integrations that hold up under real load, insidethe stack a client already runs.
This is a senior, high-autonomy role. You'll work directly with strategists andmarketers on the same team, with no throwing specs over a wall, and you'll be infront of clients when it matters.
Design and ship agentic AI systems and LLM/RAG pipelines that survive contact with production traffic.
Integrate AI deeply into client stacks, including CRMs, warehouses, e-commerce platforms, and service-ops tools, using their real APIs and webhooks.
Build the data foundations and evaluation harnesses that make AI outputs trustworthy and measurable.
Own delivery end-to-end: from a paid diagnostic through a 30-day pilot to a scaled, monitored system.
Pressure-test use cases honestly, including telling a client when something isn't worth building.
5+ years building and shipping production software, with recent hands-on LLM/agent work.
Real experience integrating with third-party APIs (CRM, commerce, or data platforms).
Strong opinions on evaluation, observability, and error handling for non-deterministic systems.
Comfort owning ambiguity and talking to clients directly.
Nice-to-haves
Experience with Claude / Anthropic tooling, RAG architectures, or agent frameworks in production.
Background in data engineering or MLOps.
Prior agency, consultancy, or startup-founder experience.
Claude Code, TypeScript / Python, Vercel, Snowflake / BigQuery, Linear, and Slack,plus whatever a client already runs (Salesforce, Shopify, Zoho, ServiceTitan,Klaviyo, and the rest of the ecosystem).
Intro call with the Engineering Practice Lead (30 min).
A paid, scoped technical exercise that mirrors real work, with no whiteboard trivia.
A working session walking through your solution and a past production system you shipped.
Final conversation with the General Manager on fit and compensation.
We move fast and keep you informed at every step.
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Worksite address
san rafael, CA, 94911, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.