Senior AI Engineer

Native Bridge; San Rafael (CA); On-site; USD 165,000 - 210,000; Full time

Benefits offered by this job

Equity

Profit sharing

Remote work (US/Canada)

Job summary

Native Bridge in a Remote US/Canada role seeks a Senior AI Engineer to own the hardest and most interesting aspects of production AI, including agentic systems, RAG pipelines, and client integrations. You’ll build end-to-end solutions from diagnostics to pilots to scaled deployments with high autonomy.

You’ll bring 5+ years of shipping production software with hands-on LLM/agent work, deep API integrations (CRMs, e-commerce, data platforms), and a strong focus on observability and reliability

Qualifications

• 5+ years building and shipping production software.
• Hands-on LLM/agent work in recent projects.
• Experience integrating with third-party APIs (CRM, commerce, data platforms).
• Comfortable talking to clients directly and owning projects end-to-end.

Responsibilities

• Design and ship agentic AI systems and LLM/RAG pipelines.
• Integrate AI into client stacks using real APIs and webhooks.
• Build data foundations and evaluation harnesses for trustworthy outputs.
• Own delivery from diagnostic to 30-day pilot to scaled system.
• Pressure-test use cases and advise clients on value.

Skills

LLM/agent development

Production software

Client-facing comms

API integration

Systems design

Tools

APIs

CRM integration

LLM tooling

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.