Applied AI Engineer – Real-Time Operations Platform

DOSS; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Competitive salary

Equity

Health coverage

401(k)

In-office meals

Unlimited PTO

Commuter stipend

Wellness stipend

Parental leave

Relocation assistance

SF office culture

Job summary

Doss is building an Operations Cloud for the real world, a modern, AI-native platform for physical product businesses to manage the flow of goods, dollars, and data in real time across procurement, inventory, orders, fulfillment, and finance.

You will own applied AI end to end—Dossbot, AI-assisted schema and workflow generation, and agentic automations—acting as the technical anchor where foundation models meet a transactional system of record.

Qualifications

• Shipped LLM-powered features or agents to production and operated them at scale.
• Deep hands-on work with foundation model APIs, RAG pipelines, tool use/function calling, prompt and context engineering, and fine-tuning where it earns its keep.
• Built eval harnesses and guardrails for non-deterministic systems running against business-critical data.
• Strong backend fundamentals: Designing systems, Postgres, and cloud services for reliable, multi-tenant web applications.
• Going from 0 to 1 in ambiguous settings, and judgment for when AI is the right tool and when it isn’t.

Responsibilities

• Own the applied AI architecture end-to-end: model selection, orchestration, RAG over the unified data model, evals, guardrails, and cost/latency budgets in production.
• Build Dossbot into the primary interface for operations: natural-language search, analysis, and automation grounded in live supply-chain, finance, and ops data.
• Engineer AI-assisted tooling that uses foundation models to propose, validate, and apply customer schemas and workflow definitions on live production tenants.
• Design agentic workflows with permission-aware, auditable, tenant-isolated guardrails that are safe to run against a customer's system of record.
• Stand up the eval and observability infrastructure to measure quality, catch regressions, and detect anomalous or risky emergent behavior.
• Partner with product, design, and our Forward Deployed team to deliver high-leverage AI use cases.
• Mentor and shape engineering culture as the team’s center of gravity for applied AI.

Skills

LLM-powered features

Foundation models APIs

RAG pipelines

Tool use/function calling

Prompt engineering

Fine-tuning

Eval harnesses

Guardrails

Postgres

Cloud services

Multi-tenant web apps

Tools

PostgreSQL

AWS / Cloud platforms

Job description

Doss is building an Operations Cloud for the real world, a modern, AI-native platform for physical product businesses to manage the flow of goods, dollars, and data in real time across procurement, inventory, orders, fulfillment, and finance.

You will own applied AI end to end—Dossbot, AI-assisted schema and workflow generation, and agentic automations—acting as the technical anchor where foundation models meet a transactional system of record.