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Staff Applied AI Engineer at DOSS

As the first Staff Applied AI Engineer, you'll be the technical anchor for how foundation models interface with live transactional data to automate procurement, inventory, and finance. Join this world-class engineering team in San Francisco to ship production-grade AI agents and RAG pipelines that solve real-world logistics chaos for global product businesses. This is a unique opportunity to build mission-critical AI systems from the ground up.

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DOSS

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Location

San Francisco, United States

Compensation

$230k-$260k + Equity

Company

DOSS

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Role overview

As the first dedicated applied AI hire at DOSS, you will architect the systems that turn foundation models into a transactional system of record. You’ll own the end-to-end AI strategy, from RAG pipelines and agentic automation to building Dossbot, our natural-language interface that grounds complex supply-chain actions in live, multi-tenant data.

DOSS is a $55M Series B San Francisco-based company building the Operations Cloud—an AI-native platform designed to replace rigid ERPs. Backed by Madrona and Premji Invest, DOSS enables physical product businesses to manage procurement, inventory, and finance through a unified, real-time data model and intelligent agentic workflows.

What you will do

  • Architect and build RAG pipelines, model orchestration, and guardrails to ensure AI responses are grounded in live operational data.
  • Develop agentic workflows that safely perform procurement and inventory actions within strict enterprise permissions and auditable guardrails.
  • Establish the evaluation and observability infrastructure necessary to measure quality and detect anomalies in non-deterministic AI systems.

Who this is a fit for

  • Demonstrated experience shipping and scaling LLM-powered features, agents, or RAG pipelines to production environments, not just prototypes.
  • Expert-level hands-on skills with foundation model APIs, tool calling, prompt engineering, and building reliable backend systems using Postgres.
  • Pragmatic builder with a 0-to-1 mindset who knows when AI is the right solution and when to stick to traditional engineering.

Why this role is remarkable

  • Lead the AI transition for a category stuck in the past, replacing consultant-heavy, legacy ERPs with an adaptable, AI-native platform.
  • Join a high-growth startup following a $55M Series B led by top-tier investors like Madrona, Premji Invest, and General Catalyst.
  • Own the entire applied AI lifecycle, from technical architecture to shipping production-ready agents that handle mission-critical physical operations.

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